Development and Experimental Evaluation of a Sensorless Speed Control of SPIM Using Adaptive Sliding Mode-MRAS Strategy

The aim of this paper is to provide a high-performance sensorless control of single phase induction motor drives. The synthesis of second-order sliding mode controllers to drive the rotor speed and the stator currents is based on the adaptive super twisting algorithm. The proposed method for the estimation of speed is based on sliding mode model reference adaptive system (SM-MRAS) observer. Whereas, in order to disturbance and uncertainties cancellation, an adaptive time varying switching gain is designed then adopted. A discrete low pass filter was used to improve the estimator generated signal for practical implementation, representing a very simple design process compared with other chattering reduction methods as adding an observer. The stability of the SM-MRAS speed estimation algorithm is proved using the Lyapunov approach and its robustness is investigated under load conditions. Simulation and experimental results prove the effectiveness of the proposed sensorless speed control algorithm.