Sensorless speed estimation and backstepping control of induction motor drive using model reference adaptive system

This paper presents a sensorless nonlinear control for an induction motor drive. The strategy is based on backstepping control in order to ensure a high-performance control and a good dynamic in different uncertainties and external disturbance. Moreover, a model reference adaptive system (MRAS) is used for rotor speed and rotor flux estimations; investigate a sensorless control algorithm by decreasing the cost of the speed sensor. The performances of the sensorless control strategy will be examined via numerical simulation and validated through Hardware implementation using Matlab/Simulink with dSpace 1104 signal card. The results analysis shows the robustness of the sensorless control algorithm for the load disturbances, the speed variation and low-speed.