Event-Triggered Generalized Super-Twisting Sliding Mode Control for Position Tracking of PMSMs
Zhuang Kang, Xinpo Lin, Xiaoning Shen, Zhuang Liu, Yabin Gao, Jianxing Liu
Abstract
This article proposes an event-triggered generalized super-twisting sliding mode disturbance rejection control strategy for permanent magnet synchronous motors (PMSMs), aiming to ensure precise position tracking while efficiently conserving communication resources. A unified event-triggering mechanism facilitates the simultaneous transmission of measurement and actuator signals, effectively implementing feedback-control bidirectional triggering. Furthermore, the entire control strategy is updated based on triggered state information. It incorporates a generalized super-twisting controller characterized by a simple structure and smooth dynamic performance, in addition to a neural network observer and a high-gain observer designed to estimate lumped disturbances and enhance system robustness. The practical stability of the closed-loop system, the boundedness of the signals, and the Zeno-free execution of triggering sequences are rigorously verified. Finally, experimental results on a PMSM validate the superiority of the proposed control approach in terms of transient-state position tracking, steady-state smoothness, communication efficiency, and robustness.