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94 Publications
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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
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
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.
LibreCat
2020 | Journal Article | LibreCat-ID: 29644
Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. arXiv preprint arXiv:200504869. Published online 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 29641
Gedlu EG, Wallscheid O, Böcker J. Permanent magnet synchronous machine temperature estimation using low-order lumped-parameter thermal network with extended iron loss model. In: The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020). Vol 2020. ; 2020:937–942.
LibreCat
2020 | Journal Article | LibreCat-ID: 29643
Wallscheid O, Ngoumtsa EFB. Investigation of disturbance observers for model predictive current control in electric drives. IEEE Transactions on Power Electronics. 2020;35(12):13563–13572.
LibreCat
2020 | Journal Article | LibreCat-ID: 29642
Hanke S, Wallscheid O, Böcker J. Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II). arXiv preprint arXiv:200306268. Published online 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29640
Kirchgässner W, Wallscheid O, Böcker J. Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. arXiv preprint arXiv:200106246. Published online 2020.
LibreCat
2020 | Report | LibreCat-ID: 30034
Stender M, Wallscheid O, Böcker J. Data Set Description: Three-Phase IGBT Two-Level Inverter for Electrical Drives.; 2020. doi:10.13140/RG.2.2.23335.37280
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 25030
Schenke M, Kirchgässner W, Wallscheid O. Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics. Published online 2019:4650-4658. doi:10.1109/tii.2019.2948387
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21247
Kirchgässner W, Wallscheid O, Böcker J. Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. In: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). ; 2019. doi:10.1109/isie.2019.8781195
LibreCat
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2019 | Conference Paper | LibreCat-ID: 21249
Kirchgässner W, Wallscheid O, Böcker J. Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors. In: 2019 IEEE International Electric Machines & Drives Conference (IEMDC). ; 2019. doi:10.1109/iemdc.2019.8785109
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 30035
Stender M, Wallscheid O, Böcker J. Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives. In: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE; 2019. doi:10.1109/isie.2019.8781543
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