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94 Publications


2021 | Journal Article | LibreCat-ID: 29653
Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” IEEE Access 9 (2021): 35654–35669. https://doi.org/10.1109/ACCESS.2021.3062144.
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2021 | Journal Article | LibreCat-ID: 30030
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer.” IEEE Transactions on Power Electronics 36, no. 11 (2021): 13261–74. https://doi.org/10.1109/tpel.2021.3080129.
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2021 | Conference Paper | LibreCat-ID: 30031
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach.” In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. https://doi.org/10.1109/pemc48073.2021.9432615.
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2021 | Conference Paper | LibreCat-ID: 30029
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor.” In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021. https://doi.org/10.1109/iecon48115.2021.9589225.
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2021 | Conference Paper | LibreCat-ID: 30032
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Gray-Box Loss Model for Induction Motor Drives.” In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. https://doi.org/10.1109/pemc48073.2021.9432491.
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2021 | Conference Paper | LibreCat-ID: 29665
Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor.” IET Digital Library, 2021. https://doi.org/10.1049%2Ficp.2021.1122.
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2021 | Journal Article | LibreCat-ID: 29664
Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges.” IEEE Open Journal of Industry Applications, 2021.
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion 36, no. 3 (2021): 2059–67. https://doi.org/10.1109/tec.2021.3052546.
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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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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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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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2021 | Journal Article | LibreCat-ID: 21557
Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.” IEEE Transactions on Industrial Informatics, 2021. https://doi.org/10.1109/tii.2021.3060469.
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2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning.” ArXiv Preprint ArXiv:2103.16323, 2021.
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2020 | Journal Article | LibreCat-ID: 21252
Traue, Arne, Gerrit Book, Wilhelm Kirchgässner, and Oliver Wallscheid. “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.” IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–10. https://doi.org/10.1109/tnnls.2020.3029573.
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Estimating Electric Motor Temperatures with Deep Residual Machine Learning.” IEEE Transactions on Power Electronics 36, no. 7 (2020): 7480–88. https://doi.org/10.1109/tpel.2020.3045596.
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2020 | Journal Article | LibreCat-ID: 21558
Brosch, Anian, Sören Hanke, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors.” IEEE Transactions on Power Electronics, 2020, 2179–90. https://doi.org/10.1109/tpel.2020.3006779.
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2020 | Conference Paper | LibreCat-ID: 29956
Stille, Karl Stephan Christian, Daniel Weber, Jarren Lange, Thorsten Vogt, Oliver Wallscheid, and Joachim Böcker. “Emulation of Microgrids for Research and Validation of Control and Operation Strategies.” In 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161971.
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2020 | Journal Article | LibreCat-ID: 30033
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives.” IEEE Transactions on Industrial Electronics 68, no. 9 (2020): 8646–56. https://doi.org/10.1109/tie.2020.3018060.
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2020 | Conference Paper | LibreCat-ID: 30036
Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers.” In 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2020. https://doi.org/10.1109/speedam48782.2020.9161955.
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2020 | Journal Article | LibreCat-ID: 29649
Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source Software 5, no. 54 (2020): 2435.
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