Title :
Design for fuzzy backstepping controller of permanent magnet synchronous motor
Author :
Yang, Ming ; Wang, Xingcheng
Author_Institution :
Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.
Keywords :
control system synthesis; fuzzy control; machine control; nonlinear control systems; optimal control; particle swarm optimisation; permanent magnet motors; synchronous motors; adaptive weighted particle swarm optimization; fuzzy backstepping controller; fuzzy logic control; nonlinear controller; optimal controller; permanent magnet synchronous motor; Backstepping; Control systems; Control theory; Fuzzy control; Fuzzy logic; Nonlinear control systems; Nonlinear systems; Permanent magnet motors; Robust control; Vehicle dynamics; Adaptive Weighted Particle Swarm Optimization (PSO); Backstepping Control; Fuzzy Logic Control; Nonlinear Control;
Conference_Titel :
Cybernetics and Intelligent Systems (CIS), 2010 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6499-9
DOI :
10.1109/ICCIS.2010.5518557