Adaptive Generalized Super-Twisting Sliding Mode Control for PMSM Drives
Zhuang Kang, Xinpo Lin, Zhuang Liu, Xiaoning Shen, Yabin Gao, Jianxing Liu
Abstract
This article is concerned with the problem of fast speed tracking and steady-state chattering reduction for the low-anisotropy permanent magnet synchronous motor (PMSM) systems under sliding mode control. To this end, a novel generalized super-twisting algorithm is proposed, leading to smoother dynamics. Specifically, the sliding mode variable can potentially be infinitely differentiable in the Filippov sense. The proposed algorithm also provides greater flexibility in parameter selection. Furthermore, an adaptive law is introduced for the exponential parameter to balance fast convergence and steady-state smoothness. In addition, finite-time stability and an explicit upper bound on convergence time are established via strict Lyapunov functions. Finally, extensive comparative studies among eight different control strategies, are conducted to demonstrate the superiority of the generalized super-twisting algorithm and the effectiveness of adaptive law.