Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.
LibreCat: /record/29653
DOI: 10.1109/ACCESS.2021.3062144

Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2021) 13261–13274.
LibreCat: /record/30030
DOI: 10.1109/tpel.2021.3080129

Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.
LibreCat: /record/30031
DOI: 10.1109/pemc48073.2021.9432615

Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor
M. Stender, O. Wallscheid, J. Böcker, in: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2021.
LibreCat: /record/30029
DOI: 10.1109/iecon48115.2021.9589225

Gray-Box Loss Model for Induction Motor Drives
M. Stender, O. Wallscheid, J. Böcker, in: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021.
LibreCat: /record/30032
DOI: 10.1109/pemc48073.2021.9432491

Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor
S. Hanke, O. Wallscheid, J. Böcker, in: IET Digital Library, 2021.
LibreCat: /record/29665
DOI: 10.1049%2Ficp.2021.1122

Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges
O. Wallscheid, IEEE Open Journal of Industry Applications (2021).
LibreCat: /record/29664

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.
LibreCat: /record/21251
DOI: 10.1109/tec.2021.3052546

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021).
LibreCat: /record/21254
DOI: 10.21105/joss.02498

A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors
M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics Society (2021) 388–400.
LibreCat: /record/25031
DOI: 10.1109/ojies.2021.3075521

Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
LibreCat: /record/29662

Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics (2021).
LibreCat: /record/21557
DOI: 10.1109/tii.2021.3060469

Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323 (2021).
LibreCat: /record/29655

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020) 1–10.
LibreCat: /record/21252
DOI: 10.1109/tnnls.2020.3029573

Estimating Electric Motor Temperatures with Deep Residual Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2020) 7480–7488.
LibreCat: /record/21250
DOI: 10.1109/tpel.2020.3045596

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
A. Brosch, S. Hanke, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2020) 2179–2190.
LibreCat: /record/21558
DOI: 10.1109/tpel.2020.3006779

Emulation of Microgrids for Research and Validation of Control and Operation Strategies
K.S.C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.
LibreCat: /record/29956
DOI: 10.1109/speedam48782.2020.9161971

Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives
M. Stender, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Electronics 68 (2020) 8646–8656.
LibreCat: /record/30033
DOI: 10.1109/tie.2020.3018060

Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers
M. Stender, O. Wallscheid, J. Böcker, in: 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2020.
LibreCat: /record/30036
DOI: 10.1109/speedam48782.2020.9161955

OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control
S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open Source Software 5 (2020) 2435.
LibreCat: /record/29649