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94 Publications
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2022 | Journal Article | LibreCat-ID: 31085
A. Brosch, J. Rauhaus, O. Wallscheid, J. Böcker, and D. Zimmer, “Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems,” IEEE Open Journal of Industry Applications, 2022, doi: 10.1109/ojia.2022.3171333.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 35126
N. Förster et al., “An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components,” in 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), 2022, p. P.1-P.9.
LibreCat
2021 | Journal Article | LibreCat-ID: 29657
A. Brosch, O. Wallscheid, and J. Böcker, “Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation,” IEEE Open Journal of Industry Applications, vol. 2, pp. 47–63, 2021, doi: 10.1109/OJIA.2021.3066105.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29663
E. G. Gedlu, O. Wallscheid, and J. Böcker, “Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks,” in 2021 IEEE International Electric Machines & Drives Conference (IEMDC), 2021, pp. 1–8, doi: 10.1109/IEMDC47953.2021.9449548.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 22162
G. Book et al., “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments,” IEEE Open Journal of Power Electronics, pp. 187–201, 2021, doi: 10.1109/ojpel.2021.3065877.
LibreCat
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2021 | Journal Article | LibreCat-ID: 29653
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” IEEE Access, vol. 9, pp. 35654–35669, 2021, doi: 10.1109/ACCESS.2021.3062144.
LibreCat
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2021 | Journal Article | LibreCat-ID: 30030
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer,” IEEE Transactions on Power Electronics, vol. 36, no. 11, pp. 13261–13274, 2021, doi: 10.1109/tpel.2021.3080129.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30031
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach,” 2021, doi: 10.1109/pemc48073.2021.9432615.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30029
M. Stender, O. Wallscheid, and J. Böcker, “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor,” 2021, doi: 10.1109/iecon48115.2021.9589225.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 30032
M. Stender, O. Wallscheid, and J. Böcker, “Gray-Box Loss Model for Induction Motor Drives,” 2021, doi: 10.1109/pemc48073.2021.9432491.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29665
S. Hanke, O. Wallscheid, and J. Böcker, “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor,” 2021, doi: 10.1049%2Ficp.2021.1122.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
LibreCat
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2021 | Journal Article | LibreCat-ID: 21254
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid, “gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 25031
M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.
LibreCat
| DOI
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.
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