Comparative tests show that the composite control strategy enhances the dynamic vibration suppression capabilities of high-speed trains working in complex, time-varying environments and enhancing robustness against model mismatch.
Hao-Feng Xie, Liang-Cheng Dai, Hong-Xing Gao et al.· Journal of Vibration and Con...· 0 citations
A robust hybrid control approach integrating continuous control set model predictive control (CCS-MPC) with double integral backstepping (DIBC) is proposed for high-precision speed regulation of permanent magnet synchronous motors. The outer speed loop uses a DIBC controller that generates the reference q-axis current...
H. Sayaf, Katia Kouzi, L. Mokrani et al.· Engineering Research Express· 0 citations
This paper proposes a novel nonlinear autoregressive with exogenous input-based adaptive recursive least squares model-free predictive control (NARX-ARLS-MFPC) strategy for permanent magnet synchronous motor (PMSM) drives. The core challenge addressed is the performance degradation of conventional model predictive cont...
Comparative simulations with conventional PI control and standard TD3 indicate that the proposed temporal-feature-enhanced reinforcement learning control approach for a PMSM drive system with adaptive regulation of the speed-loop gain improves transient response, reduces speed tracking error, and suppresses torque ripp...
CarSim-Simulink-based co-simulation results validate the effectiveness of the proposed fixed-time prescribed-performance path tracking control method in improving both path tracking accuracy and stability.
Ping-Shu Ge, Chenyang Xu, Long-Xin Guan et al.· Engineering Research Express· 0 citations
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