Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor

Abstract

Sensorless integral backstepping control combined with extended Kalman filter applied to permanent magnet synchronous motors (PMSM) is the topic of this paper. Moreover, a robust backstepping control is designed where an integral action is introduced in order to improve the robust properties of the controller. Our proposed control strategy is based on an accurate extended Kalman filter observer that estimates speed, position, stator currents and load torque. This Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. The stability of the system with the observer-controller scheme is analysed and sufficient conditions are given to prove the practical stability. The simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties and low speed.