A Fuzzy-Wavelet-Network-Based Position Control for PMSM

Author

Jun, Wang ; Hong, Peng ; Ling, Xia

Author_Institution

Sch.of Electr. & Inf., Xihua Univ., Chengdu

Volume

2

fYear

2006

fDate

14-16 Aug. 2006

Firstpage

1

Lastpage

4

Abstract

A robust position controller with variable structure control (VSC) and dynamic recurrent fuzzy wavelet network (DRFWN) technique for permanent magnet synchronous motor (PMSM) is presented in this paper. Based on the VSC method, the closed-loop system can system dynamics with an invariance property to uncertainties. However, the sliding controller based the assumption of known uncertainty bounds often cause the chattering phenomena in the control system. DRFWN identification with adaptive learning rates is implemented to evaluate the uncertainty bounds of PMSM which are caused by the variable of system parameters and the external load disturbance. The performance of the proposed drive is investigated both in experiment and simulation at different condition

Keywords

adaptive control; closed loop systems; fuzzy control; load distribution; machine control; permanent magnet motors; position control; synchronous motors; variable structure systems; wavelet transforms; DRFWN technique; PMSM; VSC; adaptive learning; closed-loop system; dynamic recurrent fuzzy wavelet network; invariance property; load disturbance; permanent magnet synchronous motor; position control; sliding controller; variable structure control; Position control; Fuzzy wavelet network; permanent magnet synchronous motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International

Conference_Location

Shanghai

Print_ISBN

1-4244-0448-7

Type

conf

DOI

10.1109/IPEMC.2006.4778122

Filename

4778122