Adaptive wavelet fuzzy CMAC system design for voice coil motors

Author

Lin, Chih-Min ; Li, Hsin-Yi

Author_Institution

Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

6

Abstract

An adaptive wavelet fuzzy cerebellar model articulation control system is developed for the trajectory tracking control of voice coil motors (VCMs). This control system comprises a wavelet fuzzy cerebellar model articulation controller (WFCMAC) and a fuzzy compensator. The novel WFCMAC incorporates the wavelet decomposition property with a fuzzy CMAC fast learning ability; and it is used to imitate an ideal controller. The fuzzy compensator is developed to attenuate the effect of the approximation error caused by the WFCMAC approximator. The on-line learning algorithm of the controller´s parameters is derived based on the Lyapunov function, thus the stability of the system can be guaranteed. Finally, the developed control system is applied to the trajectory tracking control of a VCM.

Keywords

Lyapunov methods; adaptive control; approximation theory; cerebellar model arithmetic computers; coils; compensation; electrodynamics; fuzzy control; fuzzy neural nets; learning (artificial intelligence); machine control; neurocontrollers; stability; tracking; trajectory control; wavelet transforms; Lyapunov function; VCM; WFCMAC approximator; adaptive wavelet fuzzy CMAC system design; adaptive wavelet fuzzy cerebellar model articulation control system; approximation error; controller parameter; fast learning ability; fuzzy compensator; online learning algorithm; system stability; trajectory tracking control; voice coil motor; wavelet decomposition property; Adaptation models; Adaptive systems; Approximation error; Coils; Fuzzy neural networks; Trajectory; cerebellar model articulation controller; fuzzy compensator; fuzzy system; voice coil motor; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Conference_Location

Brisbane, QLD

ISSN

1098-7584

Print_ISBN

978-1-4673-1507-4

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZ-IEEE.2012.6251355

Filename

6251355