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94 Publications
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2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21557
A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors,” IEEE Transactions on Industrial Informatics, 2021, doi: 10.1109/tii.2021.3060469.
LibreCat
| DOI
2021 | Preprint | LibreCat-ID: 29655
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning,” arXiv preprint arXiv:2103.16323. 2021.
LibreCat
2020 | Journal Article | LibreCat-ID: 21252
A. Traue, G. Book, W. Kirchgässner, and O. Wallscheid, “Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–10, 2020, doi: 10.1109/tnnls.2020.3029573.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 21250
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Estimating Electric Motor Temperatures with Deep Residual Machine Learning,” IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7480–7488, 2020, doi: 10.1109/tpel.2020.3045596.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 21558
A. Brosch, S. Hanke, O. Wallscheid, and J. Böcker, “Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors,” IEEE Transactions on Power Electronics, pp. 2179–2190, 2020, doi: 10.1109/tpel.2020.3006779.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 29956
K. S. C. Stille, D. Weber, J. Lange, T. Vogt, O. Wallscheid, and J. Böcker, “Emulation of Microgrids for Research and Validation of Control and Operation Strategies,” presented at the SPEEDAM, Sorrent, Italy, 2020, doi: 10.1109/speedam48782.2020.9161971.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 30033
M. Stender, O. Wallscheid, and J. Böcker, “Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives,” IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8646–8656, 2020, doi: 10.1109/tie.2020.3018060.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 30036
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing Globally Optimized Flux Observers,” 2020, doi: 10.1109/speedam48782.2020.9161955.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 29649
S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” Journal of Open Source Software, vol. 5, no. 54, p. 2435, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29644
H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” arXiv preprint arXiv:2005.04869, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 29641
E. G. Gedlu, O. Wallscheid, and J. Böcker, “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), 2020, vol. 2020, pp. 937–942.
LibreCat
2020 | Journal Article | LibreCat-ID: 29643
O. Wallscheid and E. F. B. Ngoumtsa, “Investigation of disturbance observers for model predictive current control in electric drives,” IEEE Transactions on Power Electronics, vol. 35, no. 12, pp. 13563–13572, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29642
S. Hanke, O. Wallscheid, and J. Böcker, “Data Set Description: Identifying the Physics Behind an Electric Motor–Data-Driven Learning of the Electrical Behavior (Part II),” arXiv preprint arXiv:2003.06268, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 29640
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning,” arXiv preprint arXiv:2001.06246, 2020.
LibreCat
2019 | Journal Article | LibreCat-ID: 25030
M. Schenke, W. Kirchgässner, and O. Wallscheid, “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept,” IEEE Transactions on Industrial Informatics, pp. 4650–4658, 2019, doi: 10.1109/tii.2019.2948387.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21247
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines,” 2019, doi: 10.1109/isie.2019.8781195.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 21249
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors,” 2019, doi: 10.1109/iemdc.2019.8785109.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 30035
M. Stender, O. Wallscheid, and J. Böcker, “Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives,” 2019, doi: 10.1109/isie.2019.8781543.
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