Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines
Author:
Affiliation:
1. HM Munich University of Applied Sciences,Laboratory for Mechatronic and Renewable Energy Systems (LMRES),Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10227852/10227910/10227967.pdf?arnumber=10227967
Reference44 articles.
1. Feedforward Flux-Weakening Control of Surface-Mounted Permanent-Magnet Synchronous Motors Accounting for Resistive Voltage Drop
2. Optimal vector control for wound rotor salient pole synchronous motor up to base speed
3. Torque Feedforward Control Technique for Permanent-Magnet Synchronous Motors
4. Comparison of copper loss minimization and field current minimization for Electrically Excited Synchronous Motor in mild hybrid drives
5. Sensorless Control of PMSM in a High-Speed Region Considering Iron Loss
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1. Optimal dynamic current control for externally excited synchronous machines;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21
2. An approach to nonlinear optimisation via set stabilisation of dynamical systems with an application to synchronous machines;International Journal of Control;2024-04-23
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