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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. (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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
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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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