Neuro-adaptive control of induction motor stator current

Author

Alsina, P.J. ; Gehlot, N.S.

Author_Institution

Dept. de Fisica, Univ. Estadual Paulista, Sao Paulo, Brazil

Volume

2

fYear

1995

fDate

6-10 Nov 1995

Firstpage

1434

Abstract

In this paper, a novel neuro-adaptive controller for the stator current of induction motors is presented. Based on an input voltage-output current model, an adaptive stator current controller is proposed. The dynamic stability of the proposed adaptive controller is proved based on the Lyapunov stability criteria. The proposed adaptation technique is modified and coupled to a backpropagation neural network to implement a direct-adaptive neurocontroller. Computer simulation results for a three-phase induction motor, utilizing the proposed adaptive and neuro-adaptive controllers, are also presented

Keywords

Lyapunov methods; adaptive control; backpropagation; control system analysis computing; control system synthesis; electric current control; electric machine analysis computing; induction motors; machine control; machine theory; neurocontrollers; stators; Lyapunov stability criteria; adaptive stator current control; backpropagation neural network; computer simulation; control design; direct-adaptive neurocontroller; input voltage-output current model; neuro-adaptive controller; three-phase induction motor; Adaptive control; Backpropagation; Couplings; Induction motors; Lyapunov method; Neural networks; Programmable control; Stability criteria; Stators; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-3026-9

Type

conf

DOI

10.1109/IECON.1995.484161

Filename

484161