---
_id: '58756'
abstract:
- lang: eng
text: Der Permanentmagnet-Synchronmotor (PMSM) ist aufgrund seiner hohen Leistungs-
und Drehmomentdichte bezogen auf Volumen und Gewicht ein häufig verwendeter Traktionsmotor
in Automobilanwendungen. Jene Charakteristika werden jedoch maßgeblich durch Temperaturhöchstwerte
begrenzt. Hinzu kommt, dass die Temperatur wichtiger Rotorkomponenten nicht wirtschaftlich
messbar ist. Temperaturschätzverfahren wie modellbasierte Ansätze sind potentiell
in der Lage, das Problem der fehlenden Temperaturinformation zu relativieren,
ohne zusätzliche Geräte zu erfordern. Diese Arbeit stellt ein Portfolio von thermischen
Modellen aus dem Bereich des maschinellen Lernens zusammen. Die Untersuchung basiert
auf einem PMSM-Datensatz, der auf einem Prüfstand aufgezeichnet wurde. Neben dem
durchschnittlichen Schätzfehler diktiert die erforderliche Anzahl von Modellparametern
zahlreiche Auslegungsentscheidungen. Der gesamte Entwurfsprozess eines Modells
aus dem maschinellen Lernen wird beleuchtet und für verschiedene lineare, sowie
baumbasierte Modelle; vorschiebende, rekurrente und faltende neuronale Netze als
auch für verschiedene hybride Modellierungsansätze durchgeführt. Desweiteren wird
der hybride Modellierungsansatz über thermische neuronale Netze besonders hervorgehoben.
Sie setzen sich aus neuronalen Netzen und einem thermischen Ersatzschaltbild zusammen
und wurden erstmals vom Autor dieser Arbeit veröffentlicht. Schließlich wird ein
von Experten entworfenes, datengetriebenes thermisches Netz mit konzentrierten
Parametern über verschiedene Algorithmen optimiert und als Stand der Technik herangezogen.
- lang: eng
text: The permanent magnet synchronous motor (PMSM) is a commonly used traction
motor in automotive applications due to its high power and torque density with
respect to volume and weight. These characteristics are constrained by the maximum
temperature at which vital components can still operate without harm. Moreover,
important rotor component temperatures cannot be measured economically. Temperature
estimation methods such as model-based approaches can alleviate the problem of
missing thermal information at potentially no additionally required equipment.
This work collates a portfolio of data-driven thermal models from the domain of
machine learning and investigates their feasibility for the task of accurate thermal
modeling on the example of a PMSM data set recorded on a test bench. Aside from
the average estimation error, the required amount of model parameters as an approximation
for the computational demand dictates design decisions throughout. The whole process
of designing a machine learning model is illuminated and carried out for varying
linear models; tree-based models; feed-forward, recurrent, and convolutional neural
networks, as well as various hybrid gray-box modeling approaches. Moreover, a
hybrid modeling paradigm with thermal neural networks is highlighted, which was
first introduced by this work's author. Eventually, an expert-designed, data-driven
lumped-parameter thermal network is optimized under different algorithms in order
to put machine learning models to the test against the state of the art of thermal
modeling.
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
citation:
ama: Kirchgässner W. Data-Driven Thermal Modeling of a Permanent Magnet Synchronous
Motor with Machine Learning. LibreCat University; 2024. doi:10.17619/UNIPB/1-2068
apa: Kirchgässner, W. (2024). Data-driven thermal modeling of a permanent magnet
synchronous motor with machine learning. LibreCat University. https://doi.org/10.17619/UNIPB/1-2068
bibtex: '@book{Kirchgässner_2024, title={Data-driven thermal modeling of a permanent
magnet synchronous motor with machine learning}, DOI={10.17619/UNIPB/1-2068},
publisher={LibreCat University}, author={Kirchgässner, Wilhelm}, year={2024} }'
chicago: Kirchgässner, Wilhelm. Data-Driven Thermal Modeling of a Permanent Magnet
Synchronous Motor with Machine Learning. LibreCat University, 2024. https://doi.org/10.17619/UNIPB/1-2068.
ieee: W. Kirchgässner, Data-driven thermal modeling of a permanent magnet synchronous
motor with machine learning. LibreCat University, 2024.
mla: Kirchgässner, Wilhelm. Data-Driven Thermal Modeling of a Permanent Magnet
Synchronous Motor with Machine Learning. LibreCat University, 2024, doi:10.17619/UNIPB/1-2068.
short: W. Kirchgässner, Data-Driven Thermal Modeling of a Permanent Magnet Synchronous
Motor with Machine Learning, LibreCat University, 2024.
date_created: 2025-02-21T11:38:22Z
date_updated: 2025-02-21T11:41:01Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-2068
language:
- iso: eng
publisher: LibreCat University
status: public
title: Data-driven thermal modeling of a permanent magnet synchronous motor with machine
learning
type: dissertation
user_id: '71353'
year: '2024'
...
---
_id: '58757'
abstract:
- lang: eng
text: On-bord DC-DC-Konverter sind das Bindeglied zwischen der Traktionsbatterie
und der Hilfsbatterie und versorgen wichtige Komponenten des Elektrofahrzeugs.
Diese Arbeit adressiert den weiten Spannungsbereich des Wandlers, der eine Folge
der variierenden Spannungen der Batterien ist. Als potentielle Topologien werden
der LLC Resonanzwandler, der aktiv geklemmte Flusswandler und der isolierte Vollbrücken-Konverter
untersucht.Zunächst wird hierbei der LLC untersucht und verschiedene Modulationstechniken
zur Abdeckung des weiten Spannungsbereichs gegenübergestellt, um zu zeigen, dass
die Frequenzverdoppler-Modulation und die alternierende Phasenverschiebungsmodulation
die maximale Temperatur der Halbleiter deutlich senken. Zum Wechsel zwischen Voll-
und Halbbrückenmodulation wird eine Modulationstechnik vorgeschlagen, welche den
transienten Magnetisierungsfluss um über 70 % respektive des konventionellen Konzept
senkt. Für den aktiv geklemmten Flusswandler wird ein verbessertes Modell vorgestellt,
das die Blockierspannung sehr genau modelliert. Zudem wird eine Snubber-Schaltung
vorgeschlagen, welche die sekundärseitige transiente Blockierspannung deutlich
reduziert. Für den isolierten Vollbrücken-Konverter werden hart- und weichschaltende
Modulationstechniken analysiert und eine hartschaltende Frequenz-Verdoppler-Modulationstechnik
vorgeschlagen, welche die maximale Schaltertemperatur deutlich reduziert und eine
Modulationstechnik mit Beschaltung vorgestellt, um zwischen dem Voll- und Halbbrückenmodus
zu wechseln. Die zuvor erarbeiteten Konverter werden unter Anwendung einer vorgestellten
Designmethodik verglichen und messtechnisch evaluiert.
- lang: eng
text: 'On-board DC-DC converters are the connecting link between the traction battery
and the auxiliary battery and supply energy to the crucial components of an electrical
vehicle. This work addresses DC-DC converters of a wide conversion range necessary
to cover the voltage-transfer ratio resulting from the varying state of charge
of the traction and auxiliary battery and investigates three topologies for this
application: the LLC resonant converter, the active-clamp forward converter and
the isolated full-bridge converter. At first, the LLC resonant converter is analyzed
and several operating modes are investigated and proposed to better cover the
wide transfer ratio. The operating modes are benchmarked showing that the alternating-asymmetrical
phase shift modulation and the frequency-doubler modulations can significantly
reduce the MOSFET temperature. To switch from full-bridge mode to half-bridge
mode, an improved morphing modulation is proposed that reduces the flux by about
70 % compared to the conventional concept. Finally, an integrated planar transformer
is proposed to increase the power density of the LLC.The active-clamp forward
converter is investigated to propose an accurate steady-state model. A snubber
circuitry is presented to limit the voltage overshoot of the synchronous rectifier.
The isolated full-bridge converter is investigated in its hard- and soft-switching
operation. A hard-switched frequency-doubler modulation is proposed to reduce
the maximum temperature significantly. Additionally, a steady-state model is derived
to accurately calculate the current shape of the converter and a topology morphing
concept is proposed to limit the blocking voltage of the secondary-side semiconductors
during mode transition. Finally, a topology comparison and design methodology
is proposed that enables a fair topology comparison. The three aforementioned
topologies are experimentally evaluated.'
author:
- first_name: Philipp
full_name: Rehlaender, Philipp
id: '69469'
last_name: Rehlaender
citation:
ama: Rehlaender P. Single-Stage DC-DC Converters for a Wide Input & Output
Voltage Range. LibreCat University; 2024. doi:10.17619/UNIPB/1-2148
apa: Rehlaender, P. (2024). Single-stage DC-DC converters for a wide input &
output voltage range. LibreCat University. https://doi.org/10.17619/UNIPB/1-2148
bibtex: '@book{Rehlaender_2024, title={Single-stage DC-DC converters for a wide
input & output voltage range}, DOI={10.17619/UNIPB/1-2148},
publisher={LibreCat University}, author={Rehlaender, Philipp}, year={2024} }'
chicago: Rehlaender, Philipp. Single-Stage DC-DC Converters for a Wide Input
& Output Voltage Range. LibreCat University, 2024. https://doi.org/10.17619/UNIPB/1-2148.
ieee: P. Rehlaender, Single-stage DC-DC converters for a wide input &
output voltage range. LibreCat University, 2024.
mla: Rehlaender, Philipp. Single-Stage DC-DC Converters for a Wide Input &
Output Voltage Range. LibreCat University, 2024, doi:10.17619/UNIPB/1-2148.
short: P. Rehlaender, Single-Stage DC-DC Converters for a Wide Input & Output
Voltage Range, LibreCat University, 2024.
date_created: 2025-02-21T11:40:18Z
date_updated: 2025-02-21T11:40:59Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-2148
language:
- iso: eng
publisher: LibreCat University
status: public
title: Single-stage DC-DC converters for a wide input & output voltage range
type: dissertation
user_id: '71353'
year: '2024'
...
---
_id: '58682'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
citation:
ama: Brosch A. Time-Optimal Control of Synchronous Machines in the Whole Modulation
Range Considering Current and Torque Constraints .; 2024. doi:10.17619/UNIPB/1-2064
apa: Brosch, A. (2024). Time-optimal control of synchronous machines in the whole
modulation range considering current and torque constraints . https://doi.org/10.17619/UNIPB/1-2064
bibtex: '@book{Brosch_2024, title={Time-optimal control of synchronous machines
in the whole modulation range considering current and torque constraints }, DOI={10.17619/UNIPB/1-2064}, author={Brosch,
Anian}, year={2024} }'
chicago: Brosch, Anian. Time-Optimal Control of Synchronous Machines in the Whole
Modulation Range Considering Current and Torque Constraints , 2024. https://doi.org/10.17619/UNIPB/1-2064.
ieee: A. Brosch, Time-optimal control of synchronous machines in the whole modulation
range considering current and torque constraints . 2024.
mla: Brosch, Anian. Time-Optimal Control of Synchronous Machines in the Whole
Modulation Range Considering Current and Torque Constraints . 2024, doi:10.17619/UNIPB/1-2064.
short: A. Brosch, Time-Optimal Control of Synchronous Machines in the Whole Modulation
Range Considering Current and Torque Constraints , 2024.
date_created: 2025-02-18T09:10:37Z
date_updated: 2025-02-21T11:46:13Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-2064
language:
- iso: eng
status: public
title: 'Time-optimal control of synchronous machines in the whole modulation range
considering current and torque constraints '
type: dissertation
user_id: '71353'
year: '2024'
...
---
_id: '48059'
author:
- first_name: Fabian
full_name: Winkel, Fabian
last_name: Winkel
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Peter
full_name: Scholz, Peter
last_name: Scholz
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning
Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial
Electronics Society. Published online 2023:1-14. doi:10.1109/ojies.2023.3323870
apa: Winkel, F., Wallscheid, O., Scholz, P., & Böcker, J. (2023). Pseudo-Labeling
Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open
Journal of the Industrial Electronics Society, 1–14. https://doi.org/10.1109/ojies.2023.3323870
bibtex: '@article{Winkel_Wallscheid_Scholz_Böcker_2023, title={Pseudo-Labeling Machine
Learning Algorithm for Predictive Maintenance of Relays}, DOI={10.1109/ojies.2023.3323870},
journal={IEEE Open Journal of the Industrial Electronics Society}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Wallscheid,
Oliver and Scholz, Peter and Böcker, Joachim}, year={2023}, pages={1–14} }'
chicago: Winkel, Fabian, Oliver Wallscheid, Peter Scholz, and Joachim Böcker. “Pseudo-Labeling
Machine Learning Algorithm for Predictive Maintenance of Relays.” IEEE Open
Journal of the Industrial Electronics Society, 2023, 1–14. https://doi.org/10.1109/ojies.2023.3323870.
ieee: 'F. Winkel, O. Wallscheid, P. Scholz, and J. Böcker, “Pseudo-Labeling Machine
Learning Algorithm for Predictive Maintenance of Relays,” IEEE Open Journal
of the Industrial Electronics Society, pp. 1–14, 2023, doi: 10.1109/ojies.2023.3323870.'
mla: Winkel, Fabian, et al. “Pseudo-Labeling Machine Learning Algorithm for Predictive
Maintenance of Relays.” IEEE Open Journal of the Industrial Electronics Society,
Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/ojies.2023.3323870.
short: F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the
Industrial Electronics Society (2023) 1–14.
date_created: 2023-10-14T12:03:38Z
date_updated: 2023-10-14T12:16:35Z
department:
- _id: '52'
doi: 10.1109/ojies.2023.3323870
keyword:
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
language:
- iso: eng
page: 1-14
publication: IEEE Open Journal of the Industrial Electronics Society
publication_identifier:
issn:
- 2644-1284
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays
type: journal_article
user_id: '66'
year: '2023'
...
---
_id: '48058'
author:
- first_name: Fabian
full_name: Winkel, Fabian
last_name: Winkel
- first_name: Johannes
full_name: Deuse-Kleinsteuber, Johannes
last_name: Deuse-Kleinsteuber
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for
Predictive Maintenance Research With Machine Learning. IEEE Transactions on
Reliability. Published online 2023:1-14. doi:10.1109/tr.2023.3255786
apa: Winkel, F., Deuse-Kleinsteuber, J., & Böcker, J. (2023). Run-to-Failure
Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE
Transactions on Reliability, 1–14. https://doi.org/10.1109/tr.2023.3255786
bibtex: '@article{Winkel_Deuse-Kleinsteuber_Böcker_2023, title={Run-to-Failure Relay
Dataset for Predictive Maintenance Research With Machine Learning}, DOI={10.1109/tr.2023.3255786},
journal={IEEE Transactions on Reliability}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Deuse-Kleinsteuber,
Johannes and Böcker, Joachim}, year={2023}, pages={1–14} }'
chicago: Winkel, Fabian, Johannes Deuse-Kleinsteuber, and Joachim Böcker. “Run-to-Failure
Relay Dataset for Predictive Maintenance Research With Machine Learning.” IEEE
Transactions on Reliability, 2023, 1–14. https://doi.org/10.1109/tr.2023.3255786.
ieee: 'F. Winkel, J. Deuse-Kleinsteuber, and J. Böcker, “Run-to-Failure Relay Dataset
for Predictive Maintenance Research With Machine Learning,” IEEE Transactions
on Reliability, pp. 1–14, 2023, doi: 10.1109/tr.2023.3255786.'
mla: Winkel, Fabian, et al. “Run-to-Failure Relay Dataset for Predictive Maintenance
Research With Machine Learning.” IEEE Transactions on Reliability, Institute
of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/tr.2023.3255786.
short: F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability
(2023) 1–14.
date_created: 2023-10-14T12:01:41Z
date_updated: 2023-10-14T12:16:48Z
department:
- _id: '52'
doi: 10.1109/tr.2023.3255786
keyword:
- Electrical and Electronic Engineering
- Safety
- Risk
- Reliability and Quality
language:
- iso: eng
page: 1-14
publication: IEEE Transactions on Reliability
publication_identifier:
issn:
- 0018-9529
- 1558-1721
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine
Learning
type: journal_article
user_id: '66'
year: '2023'
...
---
_id: '48352'
abstract:
- lang: eng
text: Star-connected cascaded H-bridge Converters require large DC-link capacitors
to buffer the second-order harmonic voltage ripple. First, it is analytically
proven that the DC-link voltage ripple is proportional to the apparent converter
power and does not depend on the power factor for nominal operation with sinusoidal
reference arm voltages and currents. A third-harmonic zero-sequence voltage injection
with an optimal amplitude and phase angle transforms the 2nd harmonic to a 4th
harmonic DC-link voltage ripple. This reduces the voltage ripple by exactly 50%
for all power factors at steady-state at balanced conditions. However, this requires
54% additional modules for unity power factor operation and even 100% for pure
reactive power operation to account for the increased reference arm voltages due
to the large amplitude of the optimal third-harmonic injection. If not enough
modules are available, an adaptive discontinuous PWM is utilized to still minimize
the voltage ripple for the given number of modules and power factor. With a very
limited number of modules (modulation index is 1.15), the proposed method still
reduces the DC-link voltage ripple by 24.4% for unity power factor operation.
It requires the same number of modules as the commonly utilized 3rd harmonic injection
with 1/6 of the grid voltage amplitude and achieves superior results. Simulations
of a 10 kV/1 MVA system confirm the analysis.
author:
- first_name: Roland
full_name: Unruh, Roland
id: '34289'
last_name: Unruh
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
citation:
ama: 'Unruh R, Böcker J, Schafmeister F. An Optimized Third-Harmonic Injection Reduces
DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power
Factors. In: 2023 25th European Conference on Power Electronics and Applications
(EPE’23 ECCE Europe). IEEE; 2023. doi:10.23919/epe23ecceeurope58414.2023.10264313'
apa: Unruh, R., Böcker, J., & Schafmeister, F. (2023). An Optimized Third-Harmonic
Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to
50% for all Power Factors. 2023 25th European Conference on Power Electronics
and Applications (EPE’23 ECCE Europe). 2023 25th European Conference on Power
Electronics and Applications (EPE’23 ECCE Europe), Aalborg, Denmark. https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313
bibtex: '@inproceedings{Unruh_Böcker_Schafmeister_2023, title={An Optimized Third-Harmonic
Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to
50% for all Power Factors}, DOI={10.23919/epe23ecceeurope58414.2023.10264313},
booktitle={2023 25th European Conference on Power Electronics and Applications
(EPE’23 ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Böcker, Joachim
and Schafmeister, Frank}, year={2023} }'
chicago: Unruh, Roland, Joachim Böcker, and Frank Schafmeister. “An Optimized Third-Harmonic
Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to
50% for All Power Factors.” In 2023 25th European Conference on Power Electronics
and Applications (EPE’23 ECCE Europe). IEEE, 2023. https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313.
ieee: 'R. Unruh, J. Böcker, and F. Schafmeister, “An Optimized Third-Harmonic Injection
Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all
Power Factors,” presented at the 2023 25th European Conference on Power Electronics
and Applications (EPE’23 ECCE Europe), Aalborg, Denmark, 2023, doi: 10.23919/epe23ecceeurope58414.2023.10264313.'
mla: Unruh, Roland, et al. “An Optimized Third-Harmonic Injection Reduces DC-Link
Voltage Ripple in Cascaded H-Bridge Converters up to 50% for All Power Factors.”
2023 25th European Conference on Power Electronics and Applications (EPE’23
ECCE Europe), IEEE, 2023, doi:10.23919/epe23ecceeurope58414.2023.10264313.
short: 'R. Unruh, J. Böcker, F. Schafmeister, in: 2023 25th European Conference
on Power Electronics and Applications (EPE’23 ECCE Europe), IEEE, 2023.'
conference:
end_date: 2023-09-08
location: Aalborg, Denmark
name: 2023 25th European Conference on Power Electronics and Applications (EPE'23
ECCE Europe)
start_date: 2023-09-04
date_created: 2023-10-20T07:13:32Z
date_updated: 2023-10-20T10:01:02Z
department:
- _id: '52'
doi: 10.23919/epe23ecceeurope58414.2023.10264313
keyword:
- Cascaded H-Bridge
- Solid-State Transformer
- Capacitor voltage ripple
- Zero sequence voltage
- Third harmonic injection
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/10264313
publication: 2023 25th European Conference on Power Electronics and Applications (EPE'23
ECCE Europe)
publication_identifier:
isbn:
- 979-8-3503-1678-0
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded
H-Bridge Converters up to 50% for all Power Factors
type: conference
user_id: '34289'
year: '2023'
...
---
_id: '48093'
author:
- first_name: Mario
full_name: Pena, Mario
id: '82862'
last_name: Pena
orcid: 0000-0001-5381-3660
- first_name: Michael
full_name: Meyer, Michael
last_name: Meyer
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Pena M, Meyer M, Wallscheid O, Böcker J. Fade-Over Strategy for use of Model
Predictive Direct Self-Control with Field-Oriented Control. In: 2023 IEEE International
Electric Machines and Drives Conference (IEMDC). IEEE; 2023. doi:10.1109/iemdc55163.2023.10239056'
apa: Pena, M., Meyer, M., Wallscheid, O., & Böcker, J. (2023). Fade-Over Strategy
for use of Model Predictive Direct Self-Control with Field-Oriented Control. 2023
IEEE International Electric Machines and Drives Conference (IEMDC). 2023 IEEE
International Electric Machines and Drives Conference (IEMDC), San Francisco.
https://doi.org/10.1109/iemdc55163.2023.10239056
bibtex: '@inproceedings{Pena_Meyer_Wallscheid_Böcker_2023, title={Fade-Over Strategy
for use of Model Predictive Direct Self-Control with Field-Oriented Control},
DOI={10.1109/iemdc55163.2023.10239056},
booktitle={2023 IEEE International Electric Machines and Drives Conference (IEMDC)},
publisher={IEEE}, author={Pena, Mario and Meyer, Michael and Wallscheid, Oliver
and Böcker, Joachim}, year={2023} }'
chicago: Pena, Mario, Michael Meyer, Oliver Wallscheid, and Joachim Böcker. “Fade-Over
Strategy for Use of Model Predictive Direct Self-Control with Field-Oriented Control.”
In 2023 IEEE International Electric Machines and Drives Conference (IEMDC).
IEEE, 2023. https://doi.org/10.1109/iemdc55163.2023.10239056.
ieee: 'M. Pena, M. Meyer, O. Wallscheid, and J. Böcker, “Fade-Over Strategy for
use of Model Predictive Direct Self-Control with Field-Oriented Control,” presented
at the 2023 IEEE International Electric Machines and Drives Conference (IEMDC),
San Francisco, 2023, doi: 10.1109/iemdc55163.2023.10239056.'
mla: Pena, Mario, et al. “Fade-Over Strategy for Use of Model Predictive Direct
Self-Control with Field-Oriented Control.” 2023 IEEE International Electric
Machines and Drives Conference (IEMDC), IEEE, 2023, doi:10.1109/iemdc55163.2023.10239056.
short: 'M. Pena, M. Meyer, O. Wallscheid, J. Böcker, in: 2023 IEEE International
Electric Machines and Drives Conference (IEMDC), IEEE, 2023.'
conference:
end_date: 2023-05-18
location: San Francisco
name: 2023 IEEE International Electric Machines and Drives Conference (IEMDC)
start_date: 2023-05-15
date_created: 2023-10-16T12:29:32Z
date_updated: 2023-10-20T11:28:44Z
department:
- _id: '52'
doi: 10.1109/iemdc55163.2023.10239056
language:
- iso: eng
publication: 2023 IEEE International Electric Machines and Drives Conference (IEMDC)
publication_status: published
publisher: IEEE
status: public
title: Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented
Control
type: conference
user_id: '66'
year: '2023'
...
---
_id: '48092'
author:
- first_name: Mario
full_name: Pena, Mario
id: '82862'
last_name: Pena
orcid: 0000-0001-5381-3660
- first_name: Michael
full_name: Meyer, Michael
last_name: Meyer
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Pena M, Meyer M, Wallscheid O, Böcker J. Model Predictive Direct Self-Control
for Six-Step Operation of Permanent-Magnet Synchronous Machines. IEEE Transactions
on Power Electronics. 2023;38(10):12416-12429. doi:10.1109/tpel.2023.3286713
apa: Pena, M., Meyer, M., Wallscheid, O., & Böcker, J. (2023). Model Predictive
Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines.
IEEE Transactions on Power Electronics, 38(10), 12416–12429. https://doi.org/10.1109/tpel.2023.3286713
bibtex: '@article{Pena_Meyer_Wallscheid_Böcker_2023, title={Model Predictive Direct
Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines},
volume={38}, DOI={10.1109/tpel.2023.3286713},
number={10}, journal={IEEE Transactions on Power Electronics}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Pena, Mario and Meyer,
Michael and Wallscheid, Oliver and Böcker, Joachim}, year={2023}, pages={12416–12429}
}'
chicago: 'Pena, Mario, Michael Meyer, Oliver Wallscheid, and Joachim Böcker. “Model
Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous
Machines.” IEEE Transactions on Power Electronics 38, no. 10 (2023): 12416–29.
https://doi.org/10.1109/tpel.2023.3286713.'
ieee: 'M. Pena, M. Meyer, O. Wallscheid, and J. Böcker, “Model Predictive Direct
Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines,”
IEEE Transactions on Power Electronics, vol. 38, no. 10, pp. 12416–12429,
2023, doi: 10.1109/tpel.2023.3286713.'
mla: Pena, Mario, et al. “Model Predictive Direct Self-Control for Six-Step Operation
of Permanent-Magnet Synchronous Machines.” IEEE Transactions on Power Electronics,
vol. 38, no. 10, Institute of Electrical and Electronics Engineers (IEEE), 2023,
pp. 12416–29, doi:10.1109/tpel.2023.3286713.
short: M. Pena, M. Meyer, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics
38 (2023) 12416–12429.
date_created: 2023-10-16T12:29:20Z
date_updated: 2023-10-18T10:39:07Z
department:
- _id: '52'
doi: 10.1109/tpel.2023.3286713
intvolume: ' 38'
issue: '10'
keyword:
- Electrical and Electronic Engineering
language:
- iso: eng
page: 12416-12429
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet
Synchronous Machines
type: journal_article
user_id: '82862'
volume: 38
year: '2023'
...
---
_id: '49760'
author:
- first_name: Darius
full_name: Jakobeit, Darius
last_name: Jakobeit
- first_name: Maximilian
full_name: Schenke, Maximilian
last_name: Schenke
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: Jakobeit D, Schenke M, Wallscheid O. Meta-Reinforcement-Learning-Based Current
Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power
Classes. IEEE Transactions on Power Electronics. 2023;38(7):8062-8074.
doi:10.1109/tpel.2023.3256424
apa: Jakobeit, D., Schenke, M., & Wallscheid, O. (2023). Meta-Reinforcement-Learning-Based
Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range
of Power Classes. IEEE Transactions on Power Electronics, 38(7),
8062–8074. https://doi.org/10.1109/tpel.2023.3256424
bibtex: '@article{Jakobeit_Schenke_Wallscheid_2023, title={Meta-Reinforcement-Learning-Based
Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range
of Power Classes}, volume={38}, DOI={10.1109/tpel.2023.3256424},
number={7}, journal={IEEE Transactions on Power Electronics}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Jakobeit, Darius and
Schenke, Maximilian and Wallscheid, Oliver}, year={2023}, pages={8062–8074} }'
chicago: 'Jakobeit, Darius, Maximilian Schenke, and Oliver Wallscheid. “Meta-Reinforcement-Learning-Based
Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range
of Power Classes.” IEEE Transactions on Power Electronics 38, no. 7 (2023):
8062–74. https://doi.org/10.1109/tpel.2023.3256424.'
ieee: 'D. Jakobeit, M. Schenke, and O. Wallscheid, “Meta-Reinforcement-Learning-Based
Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range
of Power Classes,” IEEE Transactions on Power Electronics, vol. 38, no.
7, pp. 8062–8074, 2023, doi: 10.1109/tpel.2023.3256424.'
mla: Jakobeit, Darius, et al. “Meta-Reinforcement-Learning-Based Current Control
of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes.”
IEEE Transactions on Power Electronics, vol. 38, no. 7, Institute of Electrical
and Electronics Engineers (IEEE), 2023, pp. 8062–74, doi:10.1109/tpel.2023.3256424.
short: D. Jakobeit, M. Schenke, O. Wallscheid, IEEE Transactions on Power Electronics
38 (2023) 8062–8074.
date_created: 2023-12-18T09:54:18Z
date_updated: 2023-12-18T09:55:19Z
department:
- _id: '52'
doi: 10.1109/tpel.2023.3256424
intvolume: ' 38'
issue: '7'
keyword:
- Electrical and Electronic Engineering
language:
- iso: eng
page: 8062-8074
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous
Motor Drives for a Wide Range of Power Classes
type: journal_article
user_id: '52638'
volume: 38
year: '2023'
...
---
_id: '53310'
author:
- first_name: Emebet Gebeyehu
full_name: Gedlu, Emebet Gebeyehu
id: '77572'
last_name: Gedlu
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
- first_name: Oliver
full_name: Nelles, Oliver
last_name: Nelles
citation:
ama: 'Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and
excitation for thermal monitoring of electric machines using machine learning
and model predictive control. In: 2023 IEEE 14th International Symposium on
Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED).
IEEE; 2023. doi:10.1109/sdemped54949.2023.10271427'
apa: Gedlu, E. G., Wallscheid, O., Böcker, J., & Nelles, O. (2023). Online system
identification and excitation for thermal monitoring of electric machines using
machine learning and model predictive control. 2023 IEEE 14th International
Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
(SDEMPED). https://doi.org/10.1109/sdemped54949.2023.10271427
bibtex: '@inproceedings{Gedlu_Wallscheid_Böcker_Nelles_2023, title={Online system
identification and excitation for thermal monitoring of electric machines using
machine learning and model predictive control}, DOI={10.1109/sdemped54949.2023.10271427},
booktitle={2023 IEEE 14th International Symposium on Diagnostics for Electrical
Machines, Power Electronics and Drives (SDEMPED)}, publisher={IEEE}, author={Gedlu,
Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim and Nelles, Oliver},
year={2023} }'
chicago: Gedlu, Emebet Gebeyehu, Oliver Wallscheid, Joachim Böcker, and Oliver Nelles.
“Online System Identification and Excitation for Thermal Monitoring of Electric
Machines Using Machine Learning and Model Predictive Control.” In 2023 IEEE
14th International Symposium on Diagnostics for Electrical Machines, Power Electronics
and Drives (SDEMPED). IEEE, 2023. https://doi.org/10.1109/sdemped54949.2023.10271427.
ieee: 'E. G. Gedlu, O. Wallscheid, J. Böcker, and O. Nelles, “Online system identification
and excitation for thermal monitoring of electric machines using machine learning
and model predictive control,” 2023, doi: 10.1109/sdemped54949.2023.10271427.'
mla: Gedlu, Emebet Gebeyehu, et al. “Online System Identification and Excitation
for Thermal Monitoring of Electric Machines Using Machine Learning and Model Predictive
Control.” 2023 IEEE 14th International Symposium on Diagnostics for Electrical
Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023, doi:10.1109/sdemped54949.2023.10271427.
short: 'E.G. Gedlu, O. Wallscheid, J. Böcker, O. Nelles, in: 2023 IEEE 14th International
Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
(SDEMPED), IEEE, 2023.'
date_created: 2024-04-06T13:55:29Z
date_updated: 2024-04-06T14:00:07Z
department:
- _id: '52'
doi: 10.1109/sdemped54949.2023.10271427
language:
- iso: eng
publication: 2023 IEEE 14th International Symposium on Diagnostics for Electrical
Machines, Power Electronics and Drives (SDEMPED)
publication_status: published
publisher: IEEE
status: public
title: Online system identification and excitation for thermal monitoring of electric
machines using machine learning and model predictive control
type: conference
user_id: '66'
year: '2023'
...
---
_id: '53543'
author:
- first_name: Fabian
full_name: Winkel, Fabian
last_name: Winkel
- first_name: Peter
full_name: Scholz, Peter
last_name: Scholz
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Winkel F, Scholz P, Wallscheid O, Böcker J. Reducing Contact Bouncing of a
Relay by Optimizing the Switch Signal During Run-Time. IEEE Transactions on
Automation Science and Engineering. Published online 2023:1-11. doi:10.1109/tase.2023.3322762
apa: Winkel, F., Scholz, P., Wallscheid, O., & Böcker, J. (2023). Reducing Contact
Bouncing of a Relay by Optimizing the Switch Signal During Run-Time. IEEE Transactions
on Automation Science and Engineering, 1–11. https://doi.org/10.1109/tase.2023.3322762
bibtex: '@article{Winkel_Scholz_Wallscheid_Böcker_2023, title={Reducing Contact
Bouncing of a Relay by Optimizing the Switch Signal During Run-Time}, DOI={10.1109/tase.2023.3322762},
journal={IEEE Transactions on Automation Science and Engineering}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Scholz,
Peter and Wallscheid, Oliver and Böcker, Joachim}, year={2023}, pages={1–11} }'
chicago: Winkel, Fabian, Peter Scholz, Oliver Wallscheid, and Joachim Böcker. “Reducing
Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time.”
IEEE Transactions on Automation Science and Engineering, 2023, 1–11. https://doi.org/10.1109/tase.2023.3322762.
ieee: 'F. Winkel, P. Scholz, O. Wallscheid, and J. Böcker, “Reducing Contact Bouncing
of a Relay by Optimizing the Switch Signal During Run-Time,” IEEE Transactions
on Automation Science and Engineering, pp. 1–11, 2023, doi: 10.1109/tase.2023.3322762.'
mla: Winkel, Fabian, et al. “Reducing Contact Bouncing of a Relay by Optimizing
the Switch Signal During Run-Time.” IEEE Transactions on Automation Science
and Engineering, Institute of Electrical and Electronics Engineers (IEEE),
2023, pp. 1–11, doi:10.1109/tase.2023.3322762.
short: F. Winkel, P. Scholz, O. Wallscheid, J. Böcker, IEEE Transactions on Automation
Science and Engineering (2023) 1–11.
date_created: 2024-04-17T14:00:22Z
date_updated: 2024-04-17T14:01:41Z
department:
- _id: '52'
doi: 10.1109/tase.2023.3322762
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
page: 1-11
publication: IEEE Transactions on Automation Science and Engineering
publication_identifier:
issn:
- 1545-5955
- 1558-3783
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During
Run-Time
type: journal_article
user_id: '66'
year: '2023'
...
---
_id: '54352'
author:
- first_name: Daniel
full_name: Urbaneck, Daniel
id: '60223'
last_name: Urbaneck
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
citation:
ama: 'Urbaneck D, Böcker J, Schafmeister F. Advanced Synchronous Rectification for
an IGBT-Based ZCS LLC Converter with High Output Currents for a 2 kW Automotive
DC-DC Stage. In: PCIM Europe 2023; IEEE International Exhibition and Conference
for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
. ; 2023.'
apa: Urbaneck, D., Böcker, J., & Schafmeister, F. (2023). Advanced Synchronous
Rectification for an IGBT-Based ZCS LLC Converter with High Output Currents for
a 2 kW Automotive DC-DC Stage. PCIM Europe 2023; IEEE International Exhibition
and Conference for Power Electronics, Intelligent Motion, Renewable Energy and
Energy Management .
bibtex: '@inproceedings{Urbaneck_Böcker_Schafmeister_2023, place={Nuremberg}, title={Advanced
Synchronous Rectification for an IGBT-Based ZCS LLC Converter with High Output
Currents for a 2 kW Automotive DC-DC Stage}, booktitle={PCIM Europe 2023; IEEE
International Exhibition and Conference for Power Electronics, Intelligent Motion,
Renewable Energy and Energy Management }, author={Urbaneck, Daniel and Böcker,
Joachim and Schafmeister, Frank}, year={2023} }'
chicago: Urbaneck, Daniel, Joachim Böcker, and Frank Schafmeister. “Advanced Synchronous
Rectification for an IGBT-Based ZCS LLC Converter with High Output Currents for
a 2 KW Automotive DC-DC Stage.” In PCIM Europe 2023; IEEE International Exhibition
and Conference for Power Electronics, Intelligent Motion, Renewable Energy and
Energy Management . Nuremberg, 2023.
ieee: D. Urbaneck, J. Böcker, and F. Schafmeister, “Advanced Synchronous Rectification
for an IGBT-Based ZCS LLC Converter with High Output Currents for a 2 kW Automotive
DC-DC Stage,” Nuremberg, 2023.
mla: Urbaneck, Daniel, et al. “Advanced Synchronous Rectification for an IGBT-Based
ZCS LLC Converter with High Output Currents for a 2 KW Automotive DC-DC Stage.”
PCIM Europe 2023; IEEE International Exhibition and Conference for Power Electronics,
Intelligent Motion, Renewable Energy and Energy Management , 2023.
short: 'D. Urbaneck, J. Böcker, F. Schafmeister, in: PCIM Europe 2023; IEEE International
Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable
Energy and Energy Management , Nuremberg, 2023.'
conference:
location: Nuremberg
date_created: 2024-05-19T13:38:09Z
date_updated: 2024-05-19T14:03:40Z
department:
- _id: '52'
language:
- iso: eng
place: Nuremberg
publication: 'PCIM Europe 2023; IEEE International Exhibition and Conference for Power
Electronics, Intelligent Motion, Renewable Energy and Energy Management '
publication_identifier:
isbn:
- 978-3-8007-6091-6
publication_status: published
status: public
title: Advanced Synchronous Rectification for an IGBT-Based ZCS LLC Converter with
High Output Currents for a 2 kW Automotive DC-DC Stage
type: conference
user_id: '71291'
year: '2023'
...
---
_id: '54838'
author:
- first_name: Septimus
full_name: Boshoff, Septimus
last_name: Boshoff
- first_name: Jan
full_name: Stenner, Jan
id: '65520'
last_name: Stenner
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Marvin
full_name: Meyer, Marvin
last_name: Meyer
- first_name: Vikas
full_name: Chidananda, Vikas
last_name: Chidananda
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Boshoff S, Stenner J, Weber D, et al. Hybrid control of interconnected power
converters using both expert-driven droop and data-driven reinforcement learning
approaches. In: IEEE Power and Energy Student Summit (PESS). VDE; 2023:124-129.'
apa: Boshoff, S., Stenner, J., Weber, D., Meyer, M., Chidananda, V., Peitz, S.,
& Wallscheid, O. (2023). Hybrid control of interconnected power converters
using both expert-driven droop and data-driven reinforcement learning approaches.
IEEE Power and Energy Student Summit (PESS), 124–129.
bibtex: '@inproceedings{Boshoff_Stenner_Weber_Meyer_Chidananda_Peitz_Wallscheid_2023,
title={Hybrid control of interconnected power converters using both expert-driven
droop and data-driven reinforcement learning approaches}, booktitle={IEEE Power
and Energy Student Summit (PESS)}, publisher={VDE}, author={Boshoff, Septimus
and Stenner, Jan and Weber, Daniel and Meyer, Marvin and Chidananda, Vikas and
Peitz, Sebastian and Wallscheid, Oliver}, year={2023}, pages={124–129} }'
chicago: Boshoff, Septimus, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda,
Sebastian Peitz, and Oliver Wallscheid. “Hybrid Control of Interconnected Power
Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning
Approaches.” In IEEE Power and Energy Student Summit (PESS), 124–29. VDE,
2023.
ieee: S. Boshoff et al., “Hybrid control of interconnected power converters
using both expert-driven droop and data-driven reinforcement learning approaches,”
in IEEE Power and Energy Student Summit (PESS), 2023, pp. 124–129.
mla: Boshoff, Septimus, et al. “Hybrid Control of Interconnected Power Converters
Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.”
IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–29.
short: 'S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O.
Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.'
date_created: 2024-06-21T07:12:10Z
date_updated: 2024-06-21T08:28:45Z
department:
- _id: '655'
- _id: '52'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/10564542
page: 124-129
project:
- _id: '286'
grant_number: 01IS20164
name: 'DARE: DARE: Trainings-, Validierungs- und Benchmarkwerkzeuge zur Entwicklung
datengetriebener Betriebs- und Regelungsverfahren für intelligente, lokale Energiesysteme'
publication: IEEE Power and Energy Student Summit (PESS)
publication_identifier:
isbn:
- 978-3-8007-6318-4
publisher: VDE
status: public
title: Hybrid control of interconnected power converters using both expert-driven
droop and data-driven reinforcement learning approaches
type: conference
user_id: '47427'
year: '2023'
...
---
_id: '54839'
author:
- first_name: Marvin
full_name: Meyer, Marvin
last_name: Meyer
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Vikas
full_name: Chidananda, Vikas
last_name: Chidananda
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
- first_name: Jan
full_name: Stenner, Jan
id: '65520'
last_name: Stenner
- first_name: Septimus
full_name: Boshoff, Septimus
last_name: Boshoff
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Meyer M, Weber D, Chidananda V, et al. ElectricGrid.jl – Automated modeling
of decentralized electrical energy grids. In: IEEE Power and Energy Student
Summit (PESS). VDE; 2023:112-117.'
apa: Meyer, M., Weber, D., Chidananda, V., Schweins, O., Stenner, J., Boshoff, S.,
Peitz, S., & Wallscheid, O. (2023). ElectricGrid.jl – Automated modeling of
decentralized electrical energy grids. IEEE Power and Energy Student Summit
(PESS), 112–117.
bibtex: '@inproceedings{Meyer_Weber_Chidananda_Schweins_Stenner_Boshoff_Peitz_Wallscheid_2023,
title={ElectricGrid.jl – Automated modeling of decentralized electrical energy
grids}, booktitle={IEEE Power and Energy Student Summit (PESS)}, publisher={VDE},
author={Meyer, Marvin and Weber, Daniel and Chidananda, Vikas and Schweins, Oliver
and Stenner, Jan and Boshoff, Septimus and Peitz, Sebastian and Wallscheid, Oliver},
year={2023}, pages={112–117} }'
chicago: Meyer, Marvin, Daniel Weber, Vikas Chidananda, Oliver Schweins, Jan Stenner,
Septimus Boshoff, Sebastian Peitz, and Oliver Wallscheid. “ElectricGrid.Jl – Automated
Modeling of Decentralized Electrical Energy Grids.” In IEEE Power and Energy
Student Summit (PESS), 112–17. VDE, 2023.
ieee: M. Meyer et al., “ElectricGrid.jl – Automated modeling of decentralized
electrical energy grids,” in IEEE Power and Energy Student Summit (PESS),
2023, pp. 112–117.
mla: Meyer, Marvin, et al. “ElectricGrid.Jl – Automated Modeling of Decentralized
Electrical Energy Grids.” IEEE Power and Energy Student Summit (PESS),
VDE, 2023, pp. 112–17.
short: 'M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff,
S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE,
2023, pp. 112–117.'
date_created: 2024-06-21T07:13:11Z
date_updated: 2024-06-21T08:28:35Z
department:
- _id: '655'
- _id: '52'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/10564557
page: 112-117
project:
- _id: '286'
grant_number: 01IS20164
name: 'DARE: DARE: Trainings-, Validierungs- und Benchmarkwerkzeuge zur Entwicklung
datengetriebener Betriebs- und Regelungsverfahren für intelligente, lokale Energiesysteme'
publication: IEEE Power and Energy Student Summit (PESS)
publication_identifier:
isbn:
- 978-3-8007-6318-4
publisher: VDE
status: public
title: ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
type: conference
user_id: '47427'
year: '2023'
...
---
_id: '41369'
author:
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Böcker J. Mechatronik und elektrische Antriebe / Mechatronics and electrical
drives. Paderborn University doi:10.17619/UNIPB/1-1640
apa: Böcker, J. (n.d.). Mechatronik und elektrische Antriebe / Mechatronics and
electrical drives. Paderborn University. https://doi.org/10.17619/UNIPB/1-1640
bibtex: '@book{Böcker, place={Paderborn}, title={Mechatronik und elektrische Antriebe
/ Mechatronics and electrical drives}, DOI={10.17619/UNIPB/1-1640},
publisher={Paderborn University}, author={Böcker, Joachim} }'
chicago: 'Böcker, Joachim. Mechatronik und elektrische Antriebe / Mechatronics
and electrical drives. Paderborn: Paderborn University, n.d. https://doi.org/10.17619/UNIPB/1-1640.'
ieee: 'J. Böcker, Mechatronik und elektrische Antriebe / Mechatronics and electrical
drives. Paderborn: Paderborn University.'
mla: Böcker, Joachim. Mechatronik und elektrische Antriebe / Mechatronics and
electrical drives. Paderborn University, doi:10.17619/UNIPB/1-1640.
short: J. Böcker, Mechatronik und elektrische Antriebe / Mechatronics and electrical
drives, Paderborn University, Paderborn, n.d.
date_created: 2023-02-01T12:46:34Z
date_updated: 2023-02-01T12:51:25Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-1640
language:
- iso: ger
- iso: eng
place: Paderborn
publication_status: submitted
publisher: Paderborn University
status: public
title: Mechatronik und elektrische Antriebe / Mechatronics and electrical drives
type: book
user_id: '66'
year: '2023'
...
---
_id: '43456'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Brosch A, Wallscheid O, Böcker J. Time-Optimal Model Predictive Control of
Permanent Magnet Synchronous Motors Considering Current and Torque Constraints.
IEEE Transactions on Power Electronics. Published online 2023:1-14. doi:10.1109/tpel.2023.3265705
apa: Brosch, A., Wallscheid, O., & Böcker, J. (2023). Time-Optimal Model Predictive
Control of Permanent Magnet Synchronous Motors Considering Current and Torque
Constraints. IEEE Transactions on Power Electronics, 1–14. https://doi.org/10.1109/tpel.2023.3265705
bibtex: '@article{Brosch_Wallscheid_Böcker_2023, title={Time-Optimal Model Predictive
Control of Permanent Magnet Synchronous Motors Considering Current and Torque
Constraints}, DOI={10.1109/tpel.2023.3265705},
journal={IEEE Transactions on Power Electronics}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Brosch, Anian and Wallscheid, Oliver
and Böcker, Joachim}, year={2023}, pages={1–14} }'
chicago: Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Time-Optimal Model
Predictive Control of Permanent Magnet Synchronous Motors Considering Current
and Torque Constraints.” IEEE Transactions on Power Electronics, 2023,
1–14. https://doi.org/10.1109/tpel.2023.3265705.
ieee: 'A. Brosch, O. Wallscheid, and J. Böcker, “Time-Optimal Model Predictive Control
of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints,”
IEEE Transactions on Power Electronics, pp. 1–14, 2023, doi: 10.1109/tpel.2023.3265705.'
mla: Brosch, Anian, et al. “Time-Optimal Model Predictive Control of Permanent Magnet
Synchronous Motors Considering Current and Torque Constraints.” IEEE Transactions
on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE),
2023, pp. 1–14, doi:10.1109/tpel.2023.3265705.
short: A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics
(2023) 1–14.
date_created: 2023-04-11T14:19:06Z
date_updated: 2023-04-11T14:22:13Z
department:
- _id: '52'
doi: 10.1109/tpel.2023.3265705
keyword:
- Electrical and Electronic Engineering
language:
- iso: eng
page: 1-14
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors
Considering Current and Torque Constraints
type: journal_article
user_id: '75779'
year: '2023'
...
---
_id: '46147'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Fabio
full_name: Tinazzi, Fabio
last_name: Tinazzi
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Mauro
full_name: Zigliotto, Mauro
last_name: Zigliotto
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Brosch A, Tinazzi F, Wallscheid O, Zigliotto M, Böcker J. Finite Set Sensorless
Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent
Magnet Synchronous Motors. IEEE Transactions on Power Electronics. Published
online 2023. doi:10.1109/tpel.2023.3294557
apa: Brosch, A., Tinazzi, F., Wallscheid, O., Zigliotto, M., & Böcker, J. (2023).
Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort
for Interior Permanent Magnet Synchronous Motors. IEEE Transactions on Power
Electronics. https://doi.org/10.1109/tpel.2023.3294557
bibtex: '@article{Brosch_Tinazzi_Wallscheid_Zigliotto_Böcker_2023, title={Finite
Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior
Permanent Magnet Synchronous Motors}, DOI={10.1109/tpel.2023.3294557},
journal={IEEE Transactions on Power Electronics}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Brosch, Anian and Tinazzi, Fabio and
Wallscheid, Oliver and Zigliotto, Mauro and Böcker, Joachim}, year={2023} }'
chicago: Brosch, Anian, Fabio Tinazzi, Oliver Wallscheid, Mauro Zigliotto, and Joachim
Böcker. “Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning
Effort for Interior Permanent Magnet Synchronous Motors.” IEEE Transactions
on Power Electronics, 2023. https://doi.org/10.1109/tpel.2023.3294557.
ieee: 'A. Brosch, F. Tinazzi, O. Wallscheid, M. Zigliotto, and J. Böcker, “Finite
Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior
Permanent Magnet Synchronous Motors,” IEEE Transactions on Power Electronics,
2023, doi: 10.1109/tpel.2023.3294557.'
mla: Brosch, Anian, et al. “Finite Set Sensorless Control With Minimum a Priori
Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors.”
IEEE Transactions on Power Electronics, Institute of Electrical and Electronics
Engineers (IEEE), 2023, doi:10.1109/tpel.2023.3294557.
short: A. Brosch, F. Tinazzi, O. Wallscheid, M. Zigliotto, J. Böcker, IEEE Transactions
on Power Electronics (2023).
date_created: 2023-07-25T20:33:12Z
date_updated: 2023-07-25T20:34:51Z
department:
- _id: '52'
doi: 10.1109/tpel.2023.3294557
keyword:
- Electrical and Electronic Engineering
language:
- iso: eng
publication: IEEE Transactions on Power Electronics
publication_identifier:
issn:
- 0885-8993
- 1941-0107
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort
for Interior Permanent Magnet Synchronous Motors
type: journal_article
user_id: '75779'
year: '2023'
...
---
_id: '46213'
author:
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Maximilian
full_name: Schenke, Maximilian
last_name: Schenke
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: Weber D, Schenke M, Wallscheid O. Steady-State Error Compensation for Reinforcement
Learning-Based Control of Power Electronic Systems. IEEE Access. 2023;11:76524-76536.
doi:10.1109/access.2023.3297274
apa: Weber, D., Schenke, M., & Wallscheid, O. (2023). Steady-State Error Compensation
for Reinforcement Learning-Based Control of Power Electronic Systems. IEEE
Access, 11, 76524–76536. https://doi.org/10.1109/access.2023.3297274
bibtex: '@article{Weber_Schenke_Wallscheid_2023, title={Steady-State Error Compensation
for Reinforcement Learning-Based Control of Power Electronic Systems}, volume={11},
DOI={10.1109/access.2023.3297274},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Weber, Daniel and Schenke, Maximilian and Wallscheid, Oliver},
year={2023}, pages={76524–76536} }'
chicago: 'Weber, Daniel, Maximilian Schenke, and Oliver Wallscheid. “Steady-State
Error Compensation for Reinforcement Learning-Based Control of Power Electronic
Systems.” IEEE Access 11 (2023): 76524–36. https://doi.org/10.1109/access.2023.3297274.'
ieee: 'D. Weber, M. Schenke, and O. Wallscheid, “Steady-State Error Compensation
for Reinforcement Learning-Based Control of Power Electronic Systems,” IEEE
Access, vol. 11, pp. 76524–76536, 2023, doi: 10.1109/access.2023.3297274.'
mla: Weber, Daniel, et al. “Steady-State Error Compensation for Reinforcement Learning-Based
Control of Power Electronic Systems.” IEEE Access, vol. 11, Institute of
Electrical and Electronics Engineers (IEEE), 2023, pp. 76524–36, doi:10.1109/access.2023.3297274.
short: D. Weber, M. Schenke, O. Wallscheid, IEEE Access 11 (2023) 76524–76536.
date_created: 2023-07-31T07:04:27Z
date_updated: 2023-07-31T07:04:48Z
department:
- _id: '34'
- _id: '52'
doi: 10.1109/access.2023.3297274
intvolume: ' 11'
keyword:
- General Engineering
- General Materials Science
- General Computer Science
- Electrical and Electronic Engineering
language:
- iso: eng
page: 76524-76536
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Steady-State Error Compensation for Reinforcement Learning-Based Control of
Power Electronic Systems
type: journal_article
user_id: '24041'
volume: 11
year: '2023'
...
---
_id: '46212'
author:
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Maximilian
full_name: Schenke, Maximilian
last_name: Schenke
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: 'Weber D, Schenke M, Wallscheid O. Safe Reinforcement Learning-Based Control
in Power Electronic Systems. In: 2023 International Conference on Future Energy
Solutions (FES). IEEE; 2023. doi:10.1109/fes57669.2023.10182718'
apa: Weber, D., Schenke, M., & Wallscheid, O. (2023). Safe Reinforcement Learning-Based
Control in Power Electronic Systems. 2023 International Conference on Future
Energy Solutions (FES). https://doi.org/10.1109/fes57669.2023.10182718
bibtex: '@inproceedings{Weber_Schenke_Wallscheid_2023, title={Safe Reinforcement
Learning-Based Control in Power Electronic Systems}, DOI={10.1109/fes57669.2023.10182718},
booktitle={2023 International Conference on Future Energy Solutions (FES)}, publisher={IEEE},
author={Weber, Daniel and Schenke, Maximilian and Wallscheid, Oliver}, year={2023}
}'
chicago: Weber, Daniel, Maximilian Schenke, and Oliver Wallscheid. “Safe Reinforcement
Learning-Based Control in Power Electronic Systems.” In 2023 International
Conference on Future Energy Solutions (FES). IEEE, 2023. https://doi.org/10.1109/fes57669.2023.10182718.
ieee: 'D. Weber, M. Schenke, and O. Wallscheid, “Safe Reinforcement Learning-Based
Control in Power Electronic Systems,” 2023, doi: 10.1109/fes57669.2023.10182718.'
mla: Weber, Daniel, et al. “Safe Reinforcement Learning-Based Control in Power Electronic
Systems.” 2023 International Conference on Future Energy Solutions (FES),
IEEE, 2023, doi:10.1109/fes57669.2023.10182718.
short: 'D. Weber, M. Schenke, O. Wallscheid, in: 2023 International Conference on
Future Energy Solutions (FES), IEEE, 2023.'
date_created: 2023-07-31T07:01:22Z
date_updated: 2023-07-31T07:03:46Z
department:
- _id: '34'
- _id: '52'
doi: 10.1109/fes57669.2023.10182718
language:
- iso: eng
publication: 2023 International Conference on Future Energy Solutions (FES)
publication_status: published
publisher: IEEE
status: public
title: Safe Reinforcement Learning-Based Control in Power Electronic Systems
type: conference
user_id: '24041'
year: '2023'
...
---
_id: '46784'
article_number: '5616'
author:
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Jan
full_name: Stenner, Jan
id: '65520'
last_name: Stenner
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Septimus
full_name: Boshoff, Septimus
last_name: Boshoff
- first_name: Marvin
full_name: Meyer, Marvin
last_name: Meyer
- first_name: Vikas
full_name: Chidananda, Vikas
last_name: Chidananda
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
citation:
ama: Wallscheid O, Peitz S, Stenner J, et al. ElectricGrid.jl - A Julia-based modeling
and simulationtool for power electronics-driven electric energy grids. Journal
of Open Source Software. 2023;8(89). doi:10.21105/joss.05616
apa: Wallscheid, O., Peitz, S., Stenner, J., Weber, D., Boshoff, S., Meyer, M.,
Chidananda, V., & Schweins, O. (2023). ElectricGrid.jl - A Julia-based modeling
and simulationtool for power electronics-driven electric energy grids. Journal
of Open Source Software, 8(89), Article 5616. https://doi.org/10.21105/joss.05616
bibtex: '@article{Wallscheid_Peitz_Stenner_Weber_Boshoff_Meyer_Chidananda_Schweins_2023,
title={ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven
electric energy grids}, volume={8}, DOI={10.21105/joss.05616},
number={895616}, journal={Journal of Open Source Software}, publisher={The Open
Journal}, author={Wallscheid, Oliver and Peitz, Sebastian and Stenner, Jan and
Weber, Daniel and Boshoff, Septimus and Meyer, Marvin and Chidananda, Vikas and
Schweins, Oliver}, year={2023} }'
chicago: Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus
Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl
- A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric
Energy Grids.” Journal of Open Source Software 8, no. 89 (2023). https://doi.org/10.21105/joss.05616.
ieee: 'O. Wallscheid et al., “ElectricGrid.jl - A Julia-based modeling and
simulationtool for power electronics-driven electric energy grids,” Journal
of Open Source Software, vol. 8, no. 89, Art. no. 5616, 2023, doi: 10.21105/joss.05616.'
mla: Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool
for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source
Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.
short: O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda,
O. Schweins, Journal of Open Source Software 8 (2023).
date_created: 2023-09-04T11:05:03Z
date_updated: 2023-09-04T11:06:06Z
department:
- _id: '655'
- _id: '52'
doi: 10.21105/joss.05616
intvolume: ' 8'
issue: '89'
keyword:
- General Earth and Planetary Sciences
- General Environmental Science
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://joss.theoj.org/papers/10.21105/joss.05616
oa: '1'
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
publication_status: published
publisher: The Open Journal
status: public
title: ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven
electric energy grids
type: journal_article
user_id: '47427'
volume: 8
year: '2023'
...