Title :
Neural Network Application for Flux and Speed Estimation in the Sensorless Decoupling Induction Motor Drive
Author :
Tsai, Cheng-Hung
Author_Institution :
China Ins. of Technol., Taipei
Abstract :
This paper presents a novel approach to sensorless decoupling control of induction motor drives. It discusses the introduction of artificial neural networks (ANN) in the area of decoupling control of induction motors using the sensorless control principles. A decoupling controller and an ANN based flux estimator are realized. The data training are obtained from a computer simulation of the system. The methodology used to train the network is presented and the results show good dynamic performance of the sensorless decoupling control of the induction motors.
Keywords :
electric machine analysis computing; estimation theory; induction motor drives; learning (artificial intelligence); machine control; magnetic variables control; neural nets; velocity control; artificial neural network; computer simulation; data training; decoupling controller; flux estimation; sensorless decoupling induction motor drive; speed estimation; Artificial neural networks; Control systems; DC motors; Induction motor drives; Induction motors; Neural networks; Rotors; Sensorless control; Stators; Velocity measurement;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.385150
