DocumentCode :
2205458
Title :
Adaptive neurocontroller for the induction motor stator current
Author :
Alsina, Pablo Javier ; Gehlot, Narpat Singh
Author_Institution :
Dept. de Fisica, Univ. Estadual da Paraiba, Campina Grande, Brazil
Volume :
2
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
649
Abstract :
In this paper a novel Neuro-Adaptive Controller for 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 presented
Keywords :
adaptive control; backpropagation; electric current control; induction motors; neurocontrollers; stability criteria; Lyapunov stability criteria; adaptive neurocontroller; backpropagation neural network; direct-adaptive neurocontroller; dynamic stability; induction motor stator current; input voltage-output current model; three-phase induction motor; Adaptive control; Backpropagation; Couplings; Induction motors; Lyapunov method; Neurocontrollers; Programmable control; Stability criteria; Stators; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.510173
Filename :
510173
Link To Document :
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