Discrete-Time Adaptive Fuzzy Event-Triggered Control for PMSMs With Voltage Faults via Command Filter Approximator
Kuan Zhao, Xinkai Chen, Jiapeng Liu, Jinpeng Yu
Abstract
Permanent magnet synchronous motor (PMSM) systems regarded as a prominent component of modern power drive systems have been widely applied. For the reason that voltage faults and squander of communication resources are common in PMSM drive systems engineering applications, a discrete-time event-triggered fault-tolerant control scheme considering voltage faults is applied to PMSM drive systems in this article. First, the PMSM discrete-time dynamic model considering voltage faults is established. Then, the command filter approximator is used to approximate the system nonlinearities and adaptive fuzzy technique is utilized to solve voltage faults problem. Furthermore, by means of event-triggered mechanism, the network communication resources from the central controller to the remote actuator are saved. Besides, the “noncausal problem” in the design process of backstepping method can be overcome by the command filter approximator. Finally, it is proved that the tracking error converges to a small neighborhood of the origin, and all the signals of the closed-loop system are bounded. Experimental results demonstrate the effectiveness of the proposed scheme.