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94 Publications
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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
LibreCat
| DOI
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.
LibreCat
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
LibreCat
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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.
LibreCat
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
LibreCat
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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.
LibreCat
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.
LibreCat
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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