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94 Publications
2024 | Journal Article | LibreCat-ID: 40171 | 
Peitz, S., Stenner, J., Chidananda, V., Wallscheid, O., Brunton, S. L., & Taira, K. (2024). Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena, 461, 134096. https://doi.org/10.1016/j.physd.2024.134096
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2024 | Journal Article | LibreCat-ID: 53309
Hölsch, L., Brosch, A., Steckel, R., Braun, T., Wendel, S., Böcker, J., & Wallscheid, O. (2024). Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives. IEEE Transactions on Energy Conversion, 1–12. https://doi.org/10.1109/tec.2024.3374962
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2023 | Journal Article | LibreCat-ID: 43456
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
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2023 | Journal Article | LibreCat-ID: 46147
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
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2023 | Journal Article | LibreCat-ID: 46784 |
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
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2023 | Journal Article | LibreCat-ID: 48059
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
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2023 | Conference Paper | LibreCat-ID: 48093
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
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2023 | Journal Article | LibreCat-ID: 46863
Schenke, M., Haucke-Korber, B., & Wallscheid, O. (2023). Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor. IEEE Transactions on Power Electronics, 1–16. https://doi.org/10.1109/tpel.2023.3303651
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2023 | Conference Paper | LibreCat-ID: 46865
Haucke-Korber, B., Schenke, M., & Wallscheid, O. (2023). Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors. 2023 IEEE International Electric Machines & Drives Conference (IEMDC). https://doi.org/10.1109/iemdc55163.2023.10239018
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2023 | Conference Paper | LibreCat-ID: 46864
Book, F., Traue, A., Schenke, M., Haucke-Korber, B., & Wallscheid, O. (2023). Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives. 2023 IEEE International Electric Machines & Drives Conference (IEMDC). https://doi.org/10.1109/iemdc55163.2023.10239044
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2023 | Journal Article | LibreCat-ID: 48092
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
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2023 | Conference Paper | LibreCat-ID: 53310
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
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2023 | Journal Article | LibreCat-ID: 53543
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
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2022 | Conference Paper | LibreCat-ID: 30349
Förster, N., Rehlaender, P., Wallscheid, O., Schafmeister, F., & Böcker, J. (n.d.). An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors. Proc. 37th IEEE Applied Power Electronics Conference (APEC). 37th IEEE Applied Power Electronics Conference (APEC 22), Houston, TX, USA.
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2022 | Journal Article | LibreCat-ID: 34533
Brosch, A., Wallscheid, O., & Böcker, J. (2022). Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2022.3229619
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2022 | Journal Article | LibreCat-ID: 33459
Brosch, A., Wallscheid, O., & Böcker, J. (2022). Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2022.3206598
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2022 | Conference Paper | LibreCat-ID: 33489
Lange, J., Schmies, D., Stille, K. S. C., Böcker, J., & Wallscheid, O. (2022). Experimental Comparison of FPGA-Implemented Model Predictive Voltage Control to Cascaded Proportional Resonant Control for a Three-Phase Four-Wire Three-Level Grid-Forming Inverter of 250 kVA. EPE’22 ECCE Europe. EPE’22 ECCE Europe, Hannover.
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2022 | Conference Paper | LibreCat-ID: 34299
Stender, M., Becker, M., Wallscheid, O., & Böcker, J. (2022). Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions. 48th Annual Conference of the Industrial Electronics Society (IECON). 48th Annual Conference of the Industrial Electronics Society IECON 2022 Conference, Brüssel. https://doi.org/10.1109/IECON49645.2022.9968695
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2022 | Conference Paper | LibreCat-ID: 35125
Förster, N., Rehlaender, P., Wallscheid, O., Schafmeister, F., & Böcker, J. (2022). An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors. 2022 IEEE Applied Power Electronics Conference and Exposition (APEC). https://doi.org/10.1109/apec43599.2022.9773701
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2022 | Conference Paper | LibreCat-ID: 35127
Förster, N., Piepenbrock, T., Rehlaender, P., Wallscheid, O., Schafmeister, F., & Böcker, J. (2022). An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components. PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 1–10. https://doi.org/10.30420/565822103
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2022 | Conference Paper | LibreCat-ID: 40212
Haucke-Korber, B., Schenke, M., & Wallscheid, O. (2022). Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors. IKMT 2022; 13. GMM/ETG-Symposium, 1–6.
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2022 | Journal Article | LibreCat-ID: 34065
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2022). Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Engineering Applications of Artificial Intelligence, 117, Article 105537. https://doi.org/10.1016/j.engappai.2022.105537
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2022 | Conference Paper | LibreCat-ID: 32859
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2022). Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations. 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209
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2022 | Journal Article | LibreCat-ID: 44163
Rehlaender, P., Wallscheid, O., Schafmeister, F., & Böcker, J. (2022). LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto. IEEE Transactions on Power Electronics, 37(11), 13413–13427. https://doi.org/10.1109/tpel.2022.3180758
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2022 | Conference Paper | LibreCat-ID: 42894
Kirchgässner, W., Wöckinger, D., Wallscheid, O., Bramerdorfer, G., & Böcker, J. (2022). Application of Thermal Neural Networks on a Small-Scale Electric Motor. IKMT 2022; 13. GMM/ETG-Symposium, 1–6.
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2022 | Journal Article | LibreCat-ID: 31085
Brosch, A., Rauhaus, J., Wallscheid, O., Böcker, J., & Zimmer, D. (2022). Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems. IEEE Open Journal of Industry Applications. https://doi.org/10.1109/ojia.2022.3171333
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2022 | Conference Paper | LibreCat-ID: 35126
Förster, N., Hölscher, J., Piepenbrock, T., Rehlaender, P., Wallscheid, O., Schafmeister, F., & Böcker, J. (2022). An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components. 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), P.1-P.9.
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2021 | Journal Article | LibreCat-ID: 29657
Brosch, A., Wallscheid, O., & Böcker, J. (2021). Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation. IEEE Open Journal of Industry Applications, 2, 47–63. https://doi.org/10.1109/OJIA.2021.3066105
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2021 | Conference Paper | LibreCat-ID: 29663
Gedlu, E. G., Wallscheid, O., & Böcker, J. (2021). Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks. 2021 IEEE International Electric Machines & Drives Conference (IEMDC), 1–8. https://doi.org/10.1109/IEMDC47953.2021.9449548
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2021 | Journal Article | LibreCat-ID: 22162
Book, G., Traue, A., Balakrishna, P., Brosch, A., Schenke, M., Hanke, S., Kirchgässner, W., & Wallscheid, O. (2021). Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments. IEEE Open Journal of Power Electronics, 187–201. https://doi.org/10.1109/ojpel.2021.3065877
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2021 | Journal Article | LibreCat-ID: 29653
Weber, D., Heid, S., Bode, H., Lange, J., Hüllermeier, E., & Wallscheid, O. (2021). Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access, 9, 35654–35669. https://doi.org/10.1109/ACCESS.2021.3062144
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2021 | Journal Article | LibreCat-ID: 30030
Stender, M., Wallscheid, O., & Böcker, J. (2021). Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer. IEEE Transactions on Power Electronics, 36(11), 13261–13274. https://doi.org/10.1109/tpel.2021.3080129
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2021 | Conference Paper | LibreCat-ID: 30031
Stender, M., Wallscheid, O., & Böcker, J. (2021). Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach. 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). https://doi.org/10.1109/pemc48073.2021.9432615
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2021 | Conference Paper | LibreCat-ID: 30029
Stender, M., Wallscheid, O., & Böcker, J. (2021). Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor. IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/iecon48115.2021.9589225
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2021 | Conference Paper | LibreCat-ID: 30032
Stender, M., Wallscheid, O., & Böcker, J. (2021). Gray-Box Loss Model for Induction Motor Drives. 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). https://doi.org/10.1109/pemc48073.2021.9432491
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2021 | Conference Paper | LibreCat-ID: 29665
Hanke, S., Wallscheid, O., & Böcker, J. (2021). Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor. https://doi.org/10.1049%2Ficp.2021.1122
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2021 | Journal Article | LibreCat-ID: 29664
Wallscheid, O. (2021). Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges. IEEE Open Journal of Industry Applications.
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion, 36(3), 2059–2067. https://doi.org/10.1109/tec.2021.3052546
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2021 | Journal Article | LibreCat-ID: 21254
Balakrishna, P., Book, G., Kirchgässner, W., Schenke, M., Traue, A., & Wallscheid, O. (2021). gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. Journal of Open Source Software, Article 2498. https://doi.org/10.21105/joss.02498
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2021 | Journal Article | LibreCat-ID: 25031
Schenke, M., & Wallscheid, O. (2021). A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics Society, 388–400. https://doi.org/10.1109/ojies.2021.3075521
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2021 | Journal Article | LibreCat-ID: 29662
Schenke, M., & Wallscheid, O. (2021). Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. ArXiv Preprint ArXiv:2105.08990.
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2021 | Journal Article | LibreCat-ID: 21557
Brosch, A., Wallscheid, O., & Böcker, J. (2021). Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2021.3060469
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2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. In arXiv preprint arXiv:2103.16323.
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2020 | Journal Article | LibreCat-ID: 21252
Traue, A., Book, G., Kirchgässner, W., & Wallscheid, O. (2020). Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems, 1–10. https://doi.org/10.1109/tnnls.2020.3029573
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2020). Estimating Electric Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on Power Electronics, 36(7), 7480–7488. https://doi.org/10.1109/tpel.2020.3045596
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2020 | Journal Article | LibreCat-ID: 21558
Brosch, A., Hanke, S., Wallscheid, O., & Böcker, J. (2020). Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics, 2179–2190. https://doi.org/10.1109/tpel.2020.3006779
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2020 | Conference Paper | LibreCat-ID: 29956
Stille, K. S. C., Weber, D., Lange, J., Vogt, T., Wallscheid, O., & Böcker, J. (2020). Emulation of Microgrids for Research and Validation of Control and Operation Strategies. 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). SPEEDAM, Sorrent, Italy. https://doi.org/10.1109/speedam48782.2020.9161971
LibreCat
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2020 | Journal Article | LibreCat-ID: 30033
Stender, M., Wallscheid, O., & Böcker, J. (2020). Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE Transactions on Industrial Electronics, 68(9), 8646–8656. https://doi.org/10.1109/tie.2020.3018060
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2020 | Conference Paper | LibreCat-ID: 30036
Stender, M., Wallscheid, O., & Böcker, J. (2020). Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers. 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). https://doi.org/10.1109/speedam48782.2020.9161955
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2020 | Journal Article | LibreCat-ID: 29649
Heid, S., Weber, D., Bode, H., Hüllermeier, E., & Wallscheid, O. (2020). OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. Journal of Open Source Software, 5(54), 2435.
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