Finite-time fuzzy dynamic surface control for permanent magnet synchronous motor stochastic systems with input constraint and load disturbance. (June 2022)

• Record Type: Journal Article
• Authors: Song, Sijia; Yu, Jinpeng; Zhao, Lin; Cui, Guozeng
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 44:Number 9(2022)
• Page Start: 1853
• Page End: 1861
• Publication Date: 2022-06
• Subjects: Adaptive fuzzy control -- dynamic surface control -- finite-time control -- stochastic systems; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/01423312211065585
• Languages: English
• ISSNs: 0142-3312

Abstract

In this paper, a finite-time adaptive fuzzy dynamic surface control (DSC) method is proposed for the position tracking control of permanent magnet synchronous motors (PMSMs) stochastic nonlinear system with input constraint and load disturbance. First, the stochastic disturbance of PMSMs is considered in operation, and the fuzzy control method is applied to cope with the stochastic nonlinear function in the motor model. Second, the DSC technique is applied to avoid the "explosion of complexity" in the backstepping design. Moreover, the finite-time control is applied to the stochastic nonlinear system of PMSMs to improve the convergence speed of the system, tracking accuracy, and anti-interference ability. Conclusive, simulation results are given to verify the method that can achieve fast tracking of the desired signal.