DocumentCode :
2663685
Title :
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
Link To Document :
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