An adaptive speed control for induction motor drive using fuzzy neural network based on fuzzy hierarchy error approach

Author

Wu, Ai ; Tam, P.K.S.

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hung Hom, Hong Kong

fYear

1999

fDate

36281

Firstpage

284

Lastpage

286

Abstract

A model reference adaptive speed control structure for an induction motor drive with the fuzzy neural network is proposed. The fuzzy neural network is composed of an antecedent network and a consequent network. A concise and fast-speed algorithm called the fuzzy hierarchy error approach (FHEA) is employed. Simulation results demonstrate that this kind of neural fuzzy controller is effective in tracking as well as the regulation speed control for an induction motor drive

Keywords

control system analysis; control system synthesis; fuzzy neural nets; induction motor drives; machine control; machine theory; model reference adaptive control systems; neurocontrollers; velocity control; adaptive speed control; antecedent network; consequent network; control design; control simulation; fuzzy hierarchy error approach; fuzzy neural network; induction motor drive; model reference adaptive speed control structure; speed tracking; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Induction motor drives; Motor drives; Neural networks; Programmable control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines and Drives, 1999. International Conference IEMD '99

Conference_Location

Seattle, WA

Print_ISBN

0-7803-5293-9

Type

conf

DOI

10.1109/IEMDC.1999.769093

Filename

769093