Fuzzy approach‐based optimal robust control for permanent magnet synchronous motor with experimental validation. Issue 1 (25th January 2022) - Zhu, Yinfei
Abstract: This paper presents an optimal robust control for a permanent magnet synchronous motor (PMSM) with uncertainties and external disturbances which can be described by fuzzy approach. The fuzzy approach based on fuzzy set theory is distinguish from probability theory or fuzzy logic theory . Firstly, a dynamical model of the PMSM with uncertainties is established using a fuzzy approach. Then, a robust controller with an optimizable parameter is designed for PMSM to handle the uncertainties. The stability of the proposed control is proven using the Lyapunov theory. Furthermore, the controller gain is optimized by minimizing performance index, which contains the control performance and cost. Finally, the numerical simulations and experimental results are presented to validate the effectiveness of the proposed control with an optimal parameter.