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Oliver Wallscheid
Oliver Wallscheid
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Zitiert von
Zitiert von
Jahr
Global Identification of a Low-Order Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors
O Wallscheid, J Böcker
IEEE TRANSACTIONS ON ENERGY CONVERSION 31 (1), 354 - 365, 2015
1782015
Estimating electric motor temperatures with deep residual machine learning
W Kirchgässner, O Wallscheid, J Böcker
IEEE Transactions on Power Electronics 36 (7), 7480-7488, 2020
992020
Data-driven recursive least squares estimation for model predictive current control of permanent magnet synchronous motors
A Brosch, S Hanke, O Wallscheid, J Böcker
IEEE Transactions on power electronics 36 (2), 2179-2190, 2020
962020
Observing the Permanent Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities
O Wallscheid, A Specht, J Böcker
IEEE Transactions on Industrial Electronics 64 (5), 3921-3929, 2017
832017
Determination of rotor temperature for an interior permanent magnet synchronous machine using a precise flux observer
A Specht, O Wallscheid, J Böcker
2014 International Power Electronics Conference (IPEC-Hiroshima 2014-ECCE …, 2014
762014
Data-driven permanent magnet temperature estimation in synchronous motors with supervised machine learning: A benchmark
W Kirchgässner, O Wallscheid, J Böcker
IEEE Transactions on Energy Conversion 36 (3), 2059-2067, 2021
652021
Deep residual convolutional and recurrent neural networks for temperature estimation in permanent magnet synchronous motors
W Kirchgässner, O Wallscheid, J Böcker
2019 IEEE International Electric Machines & Drives Conference (IEMDC), 1439-1446, 2019
612019
Thermal monitoring of electric motors: State-of-the-art review and future challenges
O Wallscheid
IEEE Open Journal of Industry Applications 2, 204-223, 2021
602021
Controller design for electrical drives by deep reinforcement learning: A proof of concept
M Schenke, W Kirchgässner, O Wallscheid
IEEE Transactions on Industrial Informatics 16 (7), 4650-4658, 2019
572019
Investigation of disturbance observers for model predictive current control in electric drives
O Wallscheid, EFB Ngoumtsa
IEEE Transactions on Power Electronics 35 (12), 13563-13572, 2020
552020
Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors—A review
O Wallscheid, T Huber, W Peters, J Böcker
IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014
532014
Investigation of Long Short-Term Memorys to Temperature Prediction for Permanent Magnet Synchronous Motors
O Wallscheid, W Kirchgässner, J Böcker
IEEE International Joint Conference on Neural Networks (IJCNN 2017), 2017
51*2017
Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter
DEE Gaona, O Wallscheid, J Böcker
IEEE Transactions on Industrial Electronics, 2019
502019
Toward a reinforcement learning environment toolbox for intelligent electric motor control
A Traue, G Book, W Kirchgässner, O Wallscheid
IEEE Transactions on neural networks and learning systems 33 (3), 919-928, 2020
472020
Optimum Efficiency Control of Interior Permanent Magnet Synchronous Motors in Drive Trains of Electric and Hybrid Vehicles
W Peters, O Wallscheid, J Böcker
European Conference on Power Electronics and Applications (EPE), 2015
422015
A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses
W Peters, O Wallscheid, J Böcker
IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society …, 2012
402012
Empirical evaluation of exponentially weighted moving averages for simple linear thermal modeling of permanent magnet synchronous machines
W Kirchgässner, O Wallscheid, J Böcker
2019 IEEE 28th International Symposium on industrial electronics (ISIE), 318-323, 2019
372019
Torque and inductances estimation for finite model predictive control of highly utilized permanent magnet synchronous motors
A Brosch, O Wallscheid, J Böcker
IEEE Transactions on Industrial Informatics 17 (12), 8080-8091, 2021
352021
Koopman operator-based finite-control-set model predictive control for electrical drives
S Hanke, S Peitz, O Wallscheid, S Klus, J Böcker, M Dellnitz
arXiv preprint arXiv:1804.00854, 2018
332018
A deep Q-learning direct torque controller for permanent magnet synchronous motors
M Schenke, O Wallscheid
IEEE Open Journal of the Industrial Electronics Society 2, 388-400, 2021
322021
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