Performance analysis of Indirect vector control induction motor using PI, fuzzy and neural network predictive control

Abstract EN

In this paper performance of an indirect vector control induction motor (IVCIM) have been studied with proportional plus integral (PI) Fuzzy and Neural Network (NN) based controllers.

Implementation of PI, fuzzy logic control and NN predictive control for studies of regulation of speed in IVCIM is described under different operating conditions of induction motor.

Simulation studies of IVCIM have been carried out in MATLAB.

Motor currents, torque and speed of IVCIM have been analysed using three controllers.

A comparative analysis performance of induction motor with three controllers has been presented.

It is observed that using fuzzy logic control speed reaches at its desired value faster as compared to other controllers while using neural network predictive control motor currents and torque are stabilized (less fluctuating) quickly as compared to PI and Fuzzy controller