TY - JOUR
AU - Bathelt, Lukas
AU - Djakow, Eugen
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 52871
JF - Procedia Computer Science
KW - General Engineering
SN - 1877-0509
TI - Innovative measurement system for saber curvature observation in straightening processes
VL - 232
ER -
TY - THES
AU - Rüddenklau, Nico
ID - 42344
TI - Hardware-in-the-Loop-Simulation von HD-Scheinwerfer-Steuergeräten zur Entwicklung von Lichtfunktionen in virtuellen Nachtfahrten
ER -
TY - THES
AU - Biemelt, Patrick
ID - 42345
TI - Entwurf und Analyse modellprädiktiver Regelungsansätze zur Steigerung des Immersionsempfindens in interaktiven Fahrsimulationen
ER -
TY - CONF
AB - State estimation when only a partial model of a considered system is available remains a major challenge in many engineering fields. This work proposes a joint, square-root unscented Kalman filter to estimate states and model uncertainties simultaneously by linear combinations of physics-motivated library functions. Using a sparsity promoting approach, a selection of those linear combinations is chosen and thus an interpretable model can be extracted. Results indicate a small estimation error compared to a traditional square-root unscented Kalman filter and exhibit the enhancement of physically meaningful models.
AU - Götte, Ricarda-Samantha
AU - Timmermann, Julia
ID - 34171
IS - 1
KW - joint estimation
KW - unscented transform
KW - Kalman filter
KW - sparsity
KW - data-driven
KW - compressed sensing
T2 - 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022)
TI - Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
VL - 56
ER -
TY - CONF
AB - The development of autonomous vehicles and their introduction in urban traffic offer many opportunities for traffic improvements. In this paper, an approach for a future traffic control system for mixed autonomy traffic environments is presented. Furthermore, a simulation framework based on the city of Paderborn is introduced to enable the development and examination of such a system. This encompasses multiple elements including the road network itself, traffic lights, sensors as well as methods to analyse the topology of the network. Furthermore, a procedure for traffic demand generation and routing is presented based on statistical data of the city and traffic data obtained by measurements. The resulting model can receive and apply the generated control inputs and in turn generates simulated sensor data for the control system based on the current system state.
AU - Link, Christopher
AU - Malena, Kevin
AU - Gausemeier, Sandra
AU - Trächtler, Ansgar
ID - 44390
KW - Traffic Simulation
KW - Traffic Control
KW - Car2X
KW - Mixed Autonomy
KW - Autonomous Vehicles
KW - SUMO
KW - Sensor Simulation
KW - Traffic Demand Generation
KW - Routing
KW - Traffic Lights
KW - Graph Analysis
KW - Traffic Observer
SN - 978-989-758-652-1
T2 - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems
TI - Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios
ER -
TY - JOUR
AB - Zusammenfassung
Aufgrund aktueller Transformationsprozesse kommt der automatisierten und ressourceneffizienten Fertigung hochfester Leichtbauteile eine steigende Bedeutung zu, beispielsweise im Flugzeug- und Fahrzeugbau. Für kleine Losgrößen bietet sich hier insbesondere das Fertigungsverfahren des Drückwalzens an. Der konventionelle, industriell genutzte Drückwalzprozess stößt allerdings aufgrund der Prozesskomplexität hinsichtlich der Reproduzierbarkeit an seine Grenzen. Dies wird in der Praxis teilweise durch personengebundenes Erfahrungswissen kompensiert. Auch ist es nicht möglich, Bauteileigenschaften definiert einzustellen. Aus diesem Grund bietet der Einsatz einer neuartigen Eigenschaftsregelung Chancen zur Weiterentwicklung des Fertigungsprozesses und die Möglichkeit zur Prozessautomatisierung. Hier werden die Werkzeugbahnen abhängig einer Online-Eigenschaftsmessung über eine zusätzliche Reglerkaskade manipuliert. Die Entwicklung einer solchen Eigenschaftsregelung erfordert den Einsatz geeigneter, modellbasierter Entwurfsmethoden. In diesem Beitrag wird daher ein regelungstechnisches Systemmodell für das Drückwalzen metastabiler austenitischer Edelstähle vorgestellt. Das Simulationsmodell weist aufgrund seiner Echtzeitfähigkeit neben dem Einsatz als reines Entwurfsmodell weitere Nutzungsmöglichkeiten z.B. in Beobachtern auf und grenzt sich somit von domänenspezifischen Simulationstools wie der FEM ab.
AU - Kersting, Lukas
AU - Arian, Bahman
AU - Rozo Vasquez, Julian
AU - Trächtler, Ansgar
AU - Homberg, Werner
AU - Walther, Frank
ID - 44312
IS - 1
JF - at - Automatisierungstechnik
KW - Electrical and Electronic Engineering
KW - Computer Science Applications
KW - Control and Systems Engineering
SN - 0178-2312
TI - Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Bauteilfertigung
VL - 71
ER -
TY - CONF
AB - Abstract. Climate change, rare resources and industrial transformation processes lead to a rising demand of multi-complex lightweight forming parts, especially in aerospace and automotive sectors. In these industries, flow forming is often used to produce cylindrical forming parts by reducing the wall thickness of tubular semifinished parts, e.g. for the production of hydraulic cylinders or gear shafts. The complexity and functionality of flow forming workpieces could be significantly increased by locally graded microstructure and geometry structures. This enables customized complex hardness distributions at wear surfaces or magnetic QR codes for a unique, tamper-proof product identification. The production of those complex, 2D (axial and angular) graded forming parts currently depicts a great challenge for the process and requires new solutions and strategies. Hence, this paper proposes a novel control strategy that includes online measurements from an absolute encoder to determine the angular workpiece position. Workpieces of AISI 304L stainless steel with 2D-graded structures are successfully manufactured using this new strategy and analyzed regarding the possible accuracy and resolution of the gradation. At this point, a dependency of the gradations on the sensor and actuator dynamics, accuracy and geometry could be noted. It is further evaluated how the control strategy could be extended by an observer-based closed-loop property control approach to enhance the accuracy of the suggested strategy.
AU - Kersting, Lukas
AU - Arian, Bahman
AU - Rozo Vasquez, Julian
AU - Trächtler, Ansgar
AU - Homberg, Werner
AU - Walther, Frank
ID - 44315
SN - 2474-395X
T2 - Materials Research Proceedings
TI - Control strategy for angular gradations by means of the flow forming process
ER -
TY - JOUR
AU - Rozo Vasquez, Julian
AU - Arian, Bahman
AU - Kersting, Lukas
AU - Walther, Frank
AU - Homberg, Werner
AU - Trächtler, Ansgar
ID - 44318
JF - Metals
TI - Detection of phase transformation during plastic deformation of metastable austenitic steel AISI 304L by means of X-ray diffraction pattern analysis
ER -
TY - CONF
AU - Henkenjohann, Mark
AU - Nolte, Udo
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 48577
T2 - 2023 International Conference on Unmanned Aircraft Systems (ICUAS)
TI - Novel Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL
ER -
TY - CONF
AU - Junker, Annika
AU - Fittkau, Niklas
AU - Timmermann, Julia
AU - Trächtler, Ansgar
ID - 42238
T2 - 2022 Sixth IEEE International Conference on Robotic Computing (IRC)
TI - Autonomous Golf Putting with Data-Driven and Physics-Based Methods
ER -
TY - CONF
AU - Rozo Vasquez, Julian
AU - Arian, Bahman
AU - Kersting, Lukas
AU - Walther, Frank
AU - Homberg, Werner
AU - Trächtler, Ansgar
ID - 44316
TI - Softsensor model of phase transformation during flow forming of metastable austenitic steel AISI 304L
ER -
TY - CONF
AU - Hesse, Michael
AU - Timmermann, Julia
AU - Trächtler, Ansgar
ID - 48476
T2 - 2023 European Control Conference (ECC)
TI - Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform*
ER -
TY - JOUR
AB - In a punch-bending machine, wire products are manufactured for a wide range of industrial sectors, such as the electronics industry. The raw material for this process is flat wire made of high-strength steel. During the manufacturing process of the flat wire, residual stresses and plastic deformations are induced into the wire. These residual stresses and deformations fluctuate over the length of the semi-finished product and have a negative effect on the final product quality. Straightening machines are used to reduce this influence to a minimum. So far, the adjustment of a straightening machine has been performed manually, which is a lengthy and complex task even for an experienced worker. This inevitably leads to the use of inefficient straightening strategies and causes high rejection rates in the entire production process. Due to a lack of sensor information from the straightening operation, application of modern feedback control methods has not been practicable. This paper presents a novel design for a straightening machine with an integrated, precise straightening force measurement. By simultaneously monitoring the position of the straightening rollers, state variables of the straightening operation can be derived. Additionally, a tension control for feeding the flat wire is introduced. This is implemented to mitigate the disturbing effects caused by irregularities in the wire-feeding process. In the results of this article, the high precision of the developed force measurement design and its possible applications are shown.
AU - Bathelt, Lukas
AU - Scurk, Maximilian
AU - Djakow, Eugen
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 48781
IS - 22
JF - Sensors
SN - 1424-8220
TI - Novel Straightening-Machine Design with Integrated Force Measurement for Straightening of High-Strength Flat Wire
VL - 23
ER -
TY - CONF
AU - Götte, Ricarda-Samantha
AU - Klusmann, Jo Noel
AU - Timmermann, Julia
ID - 48482
T2 - Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023
TI - Data-driven identification of disturbances using a sliding mode observer
ER -
TY - CONF
AU - Lenz, Cederic
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 48570
T2 - 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
TI - A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data
ER -
TY - CONF
AB - Abstract. To increase the sustainability of forming processes such as punch bending, homogenization of the processed semi-finished product is an essential step in the manufacturing process. High-strength wire materials are usually available as strip material before being further processed in a forming process. For storage and transport, the material is coiled onto coils and transported to the customer. During the coiling process, residual stresses and plastic deformation are introduced into the wire. Thus, the final product quality is also influenced by the geometry of the coil. Straightening machines are used in production lines to compensate for these. Once a straightening machine has been set up, the settings for the roll positions are usually not changed. As a result, there is no reaction to material fluctuations, which means that the components to be produced do not meet the dimensional accuracy requirements. This leads to an increase in the rejection rate in manufacturing processes. To reduce the rejection rate, it is necessary to enable dynamic and flexible infeed of the straightening rollers. In this context, an innovative control concept with disturbance compensation was developed for the straightening process. The disturbance compensation uses a disturbance model that predicts the change in bending curvature over the coil radius. With this prediction, the straightening machine can be adjusted specifically. The roller positions are adjusted by a subordinate position control. The additional feedback from measured geometric product properties from the following punching-bending process enables the straightening machine to be adjusted even in the case of unforeseen fluctuations in the material properties. In this way, it is possible to react to any material fluctuations as required. This novel, demand-oriented adjustment of the straightening machine is expected to result in a high increase in the efficiency of the production process and a reduction of the rejection rate.
AU - Bathelt, Lukas
AU - Djakow, Eugen
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 48572
SN - 2474-395X
T2 - Materials Research Proceedings
TI - Innovative self-learning disturbance compensation for straightening processes
ER -
TY - CONF
AU - Bathelt, Lukas
AU - Djakow, Eugen
AU - Dahms, Frederik
AU - Henke, Christian
AU - Trächtler, Ansgar
AU - Homberg, Werner
ID - 48001
SN - 978-3-948595-09-8
T2 - Ilmenauer Federntag 2023: Neueste Erkenntnisse zu Funktion, Berechnung, Prüfung und Gestaltung von Federn und Werkstoffen
TI - Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem Federdraht
ER -
TY - CONF
AU - Koppert, Steven
AU - Bause, Maximilian
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 48571
T2 - 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
TI - Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups
ER -
TY - CONF
AB - Low-quality models that miss relevant dynamics lead to major challenges in modelbased
state estimation. We address this issue by simultaneously estimating the system’s states
and its model inaccuracies by a square root unscented Kalman filter (SRUKF). Concretely,
we augment the state with the parameter vector of a linear combination containing suitable
functions that approximate the lacking dynamics. Presuming that only a few dynamical terms
are relevant, the parameter vector is claimed to be sparse. In Bayesian setting, properties like
sparsity are expressed by a prior distribution. One common choice for sparsity is a Laplace
distribution. However, due to disadvantages of a Laplacian prior in regards to the SRUKF,
the regularized horseshoe distribution, a Gaussian that approximately features sparsity, is
applied instead. Results exhibit small estimation errors with model improvements detected by
an automated model reduction technique.
AU - Götte, Ricarda-Samantha
AU - Timmermann, Julia
ID - 44326
IS - 2
KW - joint estimation
KW - unscented Kalman filter
KW - sparsity
KW - Laplacian prior
KW - regularized horseshoe
KW - principal component analysis
T2 - IFAC-PapersOnLine
TI - Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF
VL - 56
ER -
TY - CONF
AU - Stieren, Stephan
AU - Wichtrup, Moritz
AU - Henke, Christian
AU - Trächtler, Ansgar
ID - 49560
T2 - NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems
TI - Concept for a cloud-based holistic energy management of domestic appliances to stabilize the energy supply and the power grid
ER -