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96 Publications
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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
LibreCat
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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.
LibreCat
2020 | Journal Article | LibreCat-ID: 29644
Bode, H., Heid, S., Weber, D., Hüllermeier, E., & Wallscheid, O. (2020). Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. ArXiv Preprint ArXiv:2005.04869.
LibreCat
2020 | Conference Paper | LibreCat-ID: 29641
Gedlu, E. G., Wallscheid, O., & Böcker, J. (2020). Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model. The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020), 2020, 937–942.
LibreCat
2020 | Journal Article | LibreCat-ID: 29643
Wallscheid, O., & Ngoumtsa, E. F. B. (2020). Investigation of disturbance observers for model predictive current control in electric drives. IEEE Transactions on Power Electronics, 35(12), 13563–13572.
LibreCat
2020 | Journal Article | LibreCat-ID: 29642
Hanke, S., Wallscheid, O., & Böcker, J. (2020). Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II). ArXiv Preprint ArXiv:2003.06268.
LibreCat
2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2020). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. ArXiv Preprint ArXiv:2001.06246.
LibreCat
2020 | Report | LibreCat-ID: 30034
Stender, M., Wallscheid, O., & Böcker, J. (2020). Data Set Description: Three-Phase IGBT Two-Level Inverter for Electrical Drives. https://doi.org/10.13140/RG.2.2.23335.37280
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, M., Kirchgässner, W., & Wallscheid, O. (2019). Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics, 4650–4658. https://doi.org/10.1109/tii.2019.2948387
LibreCat
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2019 | Conference Paper | LibreCat-ID: 21247
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2019). Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). https://doi.org/10.1109/isie.2019.8781195
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