Speed Sensorless Control of Induction Motor by Using Model Reference Adaptive System

Abstract

Vector control schemes are increasingly used in induction motor drive systems to obtain high performance. However, in order to implement the vector control technique, the induction motor speed information is required. Different speed sensors are used to detect the speed. But in most applications, speed sensors have several problems. These problems are eliminated by speed estimation by using different speed estimation algorithms. Out of which, model reference adaptive system techniques are one of the popular methods to estimate the rotor speed due to its good performance and simplicity. Each technique has advantages and drawbacks. In this project, the induction motor with rotor flux based model reference adaptive system rotor speed estimator is designed and validated through MATLAB/SIMULINK software package. The results of simulations show that the performance of the speed estimation is very good. The high performance of the proposed control scheme under different speed commands, load disturbances and parameter uncertainties is also demonstrated via simulation results.