Finite‐time fuzzy command filter control for permanent magnet synchronous motor stochastic systems with iron losses

• Published in: International journal of adaptive control and signal processing Vol. 37; no. 5; pp. 1226 - 1237
• Main Authors: Song, Sijia, Yu, Jinfei, Yu, Jinpeng, Liu, Jiapeng, Zhao, Lin
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.05.2023
• Subjects: Adaptive control; adaptive fuzzy control; command filter control; Control methods; Core loss; finite‐time control; Fuzzy control; iron losses; Nonlinear systems; Permanent magnets; Stochastic systems; Synchronous motors; Tracking
• ISSN: 0890-6327; 1099-1115
• DOI: 10.1002/acs.3571

Summary In this article, aiming at the problems of stochastic disturbance and iron losses for the position tracking of permanent magnet synchronous motors (PMSMs), a finite‐time adaptive fuzzy command filter control (CFC) method is proposed. First, the fuzzy control method is applied to dispose of the stochastic nonlinear function in the motor model. Second, the problem of “explosion of complexity” in backstepping control is solved by using CFC technology, and the compensation signal is introduced to eliminate filtering error. Moreover, the finite‐time control method is applied to the stochastic nonlinear system of PMSMs to improve the convergence speed of the system, tracking accuracy, and anti‐interference ability. At last, the simulation results are given to verify the method can achieve fast tracking of the desired signal.