Adaptive Fault-Tolerant Control of Permanent Magnet Synchronous Motor Based on RBF Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0451-8_96
Reference10 articles.
1. Lin, L.: Robust adaptive control and adaptive fault-tolerant control based on model reference. Northeastern University (2013). (in Chinese)
2. Azzoug, Y., et al.: An active fault-tolerant control strategy for current sensors failure for induction motor drives using a single observer for currents estimation and axes transformation. EJEE 23(6), 467–474 (2021)
3. Cao, F., et al.: Sensorless fault-tolerant control of dual three-phase permanent magnet synchronous motor. World Electr. Veh. J. 12, 183 (2020)
4. Lei, Q., et al.: Neuroadaptive observer-based discrete-time command filtered fault-tolerant control for induction motors with load disturbances. Neurocomputing 423, 435–443 (2020)
5. Zhang, X., Liu, X., Zheng, X.: Current sensor fault diagnosis and tolerant control for nine-phase PMSM drives based on improved axis rotation. Energies 15(13), 4671 (2022)
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