Adaptive recurrent neural network intelligent sliding mode control of permanent magnet linear synchronous motor
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09009-7.pdf
Reference25 articles.
1. Cheema MAM, Fletcher JE, Xiao D, Rahman MF (2016) A linear quadratic regulator-based optimal direct thrust force control of linear permanent-magnet synchronous motor. IEEE Trans Ind Electron 63(5):2722–2733
2. Shao K, Zheng J, Huang K et al (2020) Finite-time control of a linear motor positioner using adaptive recursive terminal sliding mode. IEEE Trans Ind Electron 67(8):6659–6668
3. Bai C, Yin Z, Zhang Y, Liu J (2022) Robust predictive control for linear permanent magnet synchronous motor drives based on an augmented internal model disturbance observer. IEEE Trans Industr Electron 69(10):9771–9782
4. Sun G, Ma Z, Yu J (2018) Discrete-time fractional order terminal sliding mode tracking control for linear motor. IEEE Trans Ind Electron 65(4):3386–3394
5. Chen S-Y, Chiang H-H, Liu T-S, Chang C-H (2019) Precision motion control of permanent magnet linear synchronous motors using adaptive fuzzy fractional-order sliding-mode control. IEEE/ASME Trans Mechatron 24(2):741–752
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