Model following adaptive controller with rotor resistance estimator for induction motor servo drives

Author

Han, Woo-Yong ; Kim, Sang-Min ; Chang-goo, L.

Author_Institution

Dept. of Electr. Eng., Jeonju Tech. Coll., Chonju, South Korea

Volume

1

fYear

2001

fDate

2001

Firstpage

558

Abstract

This paper presents an indirect field-oriented (IFO) induction motor position servo drive which uses the model following adaptive controller with the artificial neural network (ANN)-based rotor resistance estimator. The model reference adaptive system (MRAS)-based a 2-layer artificial neural network estimates the rotor resistance on-line and a linear model following position controller is designed by using the estimated rotor resistance value. At the end, a fuzzy logic system (FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method

Keywords

fuzzy control; induction motor drives; machine control; model reference adaptive control systems; multilayer perceptrons; neurocontrollers; position control; robust control; servomotors; fuzzy logic; indirect field-oriented induction motor; induction motor servo drives; linear model following position controller; model following adaptive controller; model reference adaptive system; robust control; rotor resistance estimator; simulation; two layer neural network; Adaptive control; Adaptive systems; Artificial neural networks; Control systems; Fuzzy logic; Induction motors; Programmable control; Robust control; Rotors; Servomechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2001. Proceedings of the 2001

Conference_Location

Arlington, VA

ISSN

0743-1619

Print_ISBN

0-7803-6495-3

Type

conf

DOI

10.1109/ACC.2001.945605

Filename

945605