Dynamic Performance of a Sensorless Speed Control for Induction Motor Drives based on Model Reference Adaptive System

Abstract

Sensorless vector control is greatly used and applied in induction machine drives instead of vector and scalar control for their reliability and robustness, and very low maintenance cost. The estimation of the rotor speed in MRAS-based technique obtained by comparing the output of the adjustable and adaptive models instead of using costly speed sensor gives the sensorless vector control great fortune. MRAS-based techniques are one of the best methods to estimate the rotor position and speed for its performance and stability. In this paper, MRAS-based technique used to estimate rotor speed based on rotor flux estimation, the estimated speed in MRAS used as a feedback for the vector control system. Modeling and simulation of the induction machine and the vector control drives implemented in MATLAB/SIMULINK. Simulation results of the proposed MRAS rotor speed technique are presented. The results show stability and accuracy for the proposed techniqu.