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94 Publications
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2021 | Journal Article | LibreCat-ID: 29653
Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access. 2021;9:35654–35669. doi:10.1109/ACCESS.2021.3062144
LibreCat
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2021 | Journal Article | LibreCat-ID: 30030
Stender M, Wallscheid O, Böcker J. Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer. IEEE Transactions on Power Electronics. 2021;36(11):13261-13274. doi:10.1109/tpel.2021.3080129
LibreCat
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2021 | Conference Paper | LibreCat-ID: 30031
Stender M, Wallscheid O, Böcker J. 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. doi:10.1109/pemc48073.2021.9432615
LibreCat
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2021 | Conference Paper | LibreCat-ID: 30029
Stender M, Wallscheid O, Böcker J. 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. doi:10.1109/iecon48115.2021.9589225
LibreCat
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2021 | Conference Paper | LibreCat-ID: 30032
Stender M, Wallscheid O, Böcker J. Gray-Box Loss Model for Induction Motor Drives. In: 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE; 2021. doi:10.1109/pemc48073.2021.9432491
LibreCat
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2021 | Conference Paper | LibreCat-ID: 29665
Hanke S, Wallscheid O, Böcker J. Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor. In: IET Digital Library; 2021. doi:10.1049%2Ficp.2021.1122
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2021 | Journal Article | LibreCat-ID: 29664
Wallscheid O. Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges. IEEE Open Journal of Industry Applications. Published online 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion. 2021;36(3):2059-2067. doi: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. gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. Journal of Open Source Software. Published online 2021. doi:10.21105/joss.02498
LibreCat
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2021 | Journal Article | LibreCat-ID: 25031
Schenke M, Wallscheid O. A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics Society. Published online 2021:388-400. doi:10.1109/ojies.2021.3075521
LibreCat
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2021 | Journal Article | LibreCat-ID: 29662
Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. arXiv preprint arXiv:210508990. Published online 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21557
Brosch A, Wallscheid O, Böcker J. Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. IEEE Transactions on Industrial Informatics. Published online 2021. doi:10.1109/tii.2021.3060469
LibreCat
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2021 | Preprint | LibreCat-ID: 29655
Kirchgässner W, Wallscheid O, Böcker J. Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. arXiv preprint arXiv:210316323. Published online 2021.
LibreCat
2020 | Journal Article | LibreCat-ID: 21252
Traue A, Book G, Kirchgässner W, Wallscheid O. Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Transactions on Neural Networks and Learning Systems. Published online 2020:1-10. doi:10.1109/tnnls.2020.3029573
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2020 | Journal Article | LibreCat-ID: 21250
Kirchgässner W, Wallscheid O, Böcker J. Estimating Electric Motor Temperatures with Deep Residual Machine Learning. IEEE Transactions on Power Electronics. 2020;36(7):7480-7488. doi:10.1109/tpel.2020.3045596
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2020 | Journal Article | LibreCat-ID: 21558
Brosch A, Hanke S, Wallscheid O, Böcker J. Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics. Published online 2020:2179-2190. doi:10.1109/tpel.2020.3006779
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2020 | Conference Paper | LibreCat-ID: 29956
Stille KSC, Weber D, Lange J, Vogt T, Wallscheid O, Böcker J. 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. doi:10.1109/speedam48782.2020.9161971
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2020 | Journal Article | LibreCat-ID: 30033
Stender M, Wallscheid O, Böcker J. Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE Transactions on Industrial Electronics. 2020;68(9):8646-8656. doi:10.1109/tie.2020.3018060
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2020 | Conference Paper | LibreCat-ID: 30036
Stender M, Wallscheid O, Böcker J. 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. doi: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. OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. Journal of Open Source Software. 2020;5(54):2435.
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