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.
| Original language | English |
|---|---|
| Pages (from-to) | 5701-5711 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 21 |
| Issue number | 7 |
| DOIs | |
| State | Published - 2025 |
Keywords
- Disturbance compensation
- event-triggered (ET) control
- high-gain observer (HGO)
- neural network (NN)
- super-twisting sliding mode control
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