Modeling and Simulation of IM Drive Performance Using PI, ANN and FLC

Author

Nikhitha, D. ; Sekhar, J. N. Chandra

Author_Institution

Dept. of EEE, SVU Coll. of Eng., Tirupati, India

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1

Lastpage

4

Abstract

In this paper an implementation of unified intelligent controller methods for voltage controlled PWM driven three phase Induction Motor drive system has been developed and analyzed in detail. The Induction motor drive system involve dynamic d-q model in synchronously rotating frame. The performance of proportional controller (PI), Fuzzy and Artificial Neural Networks (ANN) has been investigated through MATLAB/Simulink environment. Finally the results are compared and validate that ANN is predictable, greater and give better responses than Fuzzy and PI controllers.

Keywords

PI control; fuzzy control; induction motor drives; neurocontrollers; pulse width modulation; voltage control; ANN; FLC; IM drive performance; Matlab; PI; PWM; Simulink; artificial neural networks; fuzzy logic control; induction motor drive system; proportional controller; synchronous rotating frame; unified intelligent controller method; voltage control; Algorithm design and analysis; Artificial neural networks; Fuzzy logic; Induction motor drives; Mathematical model;

fLanguage

English

Publisher

ieee

Conference_Titel

IT Convergence and Security (ICITCS), 2013 International Conference on

Conference_Location

Macao

Type

conf

DOI

10.1109/ICITCS.2013.6717858

Filename

6717858