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11 Publications
2023 | Journal Article | LibreCat-ID: 46863
Schenke, Maximilian, Barnabas Haucke-Korber, and Oliver Wallscheid. “Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor.” IEEE Transactions on Power Electronics, 2023, 1–16. https://doi.org/10.1109/tpel.2023.3303651.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 46865
Haucke-Korber, Barnabas, Maximilian Schenke, and Oliver Wallscheid. “Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors.” In 2023 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2023. https://doi.org/10.1109/iemdc55163.2023.10239018.
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| DOI
2023 | Conference Paper | LibreCat-ID: 46864
Book, Felix, Arne Traue, Maximilian Schenke, Barnabas Haucke-Korber, and Oliver Wallscheid. “Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives.” In 2023 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2023. https://doi.org/10.1109/iemdc55163.2023.10239044.
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| DOI
2022 | Conference Paper | LibreCat-ID: 40212
Haucke-Korber, Barnabas, Maximilian Schenke, and Oliver Wallscheid. “Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors.” In IKMT 2022; 13. GMM/ETG-Symposium, 1–6, 2022.
LibreCat
2021 | Journal Article | LibreCat-ID: 22162
Book, Gerrit, Arne Traue, Praneeth Balakrishna, Anian Brosch, Maximilian Schenke, Sören Hanke, Wilhelm Kirchgässner, and Oliver Wallscheid. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.” IEEE Open Journal of Power Electronics, 2021, 187–201. https://doi.org/10.1109/ojpel.2021.3065877.
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| DOI
2021 | Journal Article | LibreCat-ID: 21254
Balakrishna, Praneeth, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, and Oliver Wallscheid. “Gym-Electric-Motor (GEM): A Python Toolbox for the Simulation of Electric Drive Systems.” Journal of Open Source Software, 2021. https://doi.org/10.21105/joss.02498.
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| DOI
2021 | Journal Article | LibreCat-ID: 25031
Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the Industrial Electronics Society, 2021, 388–400. https://doi.org/10.1109/ojies.2021.3075521.
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| DOI
2021 | Journal Article | LibreCat-ID: 29662
Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, Maximilian, Wilhelm Kirchgässner, and Oliver Wallscheid. “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.” IEEE Transactions on Industrial Informatics, 2019, 4650–58. https://doi.org/10.1109/tii.2019.2948387.
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| DOI
2018 | Conference Paper | LibreCat-ID: 29628
Wallscheid, Oliver, Maximilian Schenke, and Joachim Böcker. “Improving Torque and Speed Estimation Accuracy by Conjoint Parameter Identification and Unscented Kalman Filter Design for Induction Machines.” In 2018 21st International Conference on Electrical Machines and Systems (ICEMS), 1181–1186, 2018.
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2018 | Conference Paper | LibreCat-ID: 29625
Wallscheid, Oliver, Maximilian Schenke, and Joachim Böcker. “A Combined Approach to Identify Induction Machine Parameters and to Design an Extended Kalman Filter for Speed and Torque Estimation.” In 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC), 793–799, 2018.
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