Control of Induction Motor Drive Using Artificial Neural Networks

Abstract

The three phase induction motor drive is a dynamic, nonlinear system and its difficult to controlled due to nonlinearity and uncertainty in the machine parameters. The aim of this study is to improve tracking performance of the induction motor drive. A method for controlling induction motor drive is presented such as Conventional Proportional-Integral (PI) controller and Artificial Neural Networks (ANNs) controller. Using MATLAB/SIMULINK software, three phase induction motor model is built for the simulation studies. Also performance of the controllers has been verified through simulation using MATLAB/SIMULINK software. The ANNs is trained so that the speed of the drive tracking the reference speed. The ANNs controller enhances the performance and dynamics of the induction motor compared to conventional PI controller.