High performance backstepping control of induction motor with adaptive sliding mode observerIt is well known that modern control of induction motor relies on a good dynamic model of the motor. Extensive research and activity have been devoted to the problem of induction motor control over the last decade. In this paper we introduce backstepping control with amelioration of performance to guarantee stability of the system. Accurate knowledge of the rotor speed and flux position is the key factor in obtaining a high-performance and high-efficiency induction-motor drive. Thus a sliding mode observer design is presented. Simulation results are included to illustrate good performance of backstepping control of sensorless induction motors with flux observer.
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.
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