Using Recurrent Fuzzy Wavelet Neural Network to Control AC Servo System

Author

Tang, Yan ; Sun, Wei ; Wang, Yaonan ; Zhai, Xiaohua

Author_Institution

Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha

Volume

2

fYear

2006

fDate

14-16 Aug. 2006

Firstpage

1

Lastpage

4

Abstract

A kind of recurrent fuzzy wavelet neural network (RFWNN) is constructed by using recurrent wavelet neural network (RWNN) to realize fuzzy inference. In the network, temporal relations are embedded in the network by adding feedback connections on the first layer of the network, and wavelet basis function is used as fuzzy membership function. An adaptive control scheme based on RFWNN is proposed, in which, two RFWNN are used to identify and control plant respectively. The proposed adaptive control scheme is applied on AC servo control problem, and simulation results are given

Keywords

AC machines; adaptive control; electric machine analysis computing; fuzzy neural nets; fuzzy reasoning; machine control; recurrent neural nets; servomechanisms; wavelet transforms; AC servo system; adaptive control scheme; feedback connections; fuzzy inference; fuzzy membership function; recurrent fuzzy wavelet neural network; temporal relations; wavelet basis function; Adaptive control; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Neurofeedback; Recurrent neural networks; Servomechanisms; Servosystems; AC servo; Adaptive control; Recurrent fuzzy neural network; Wavelet;

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.2006.4778115

Filename

4778115