Speed Estimation of High-Speed Hysteresis Motor based on Extended Kalman Filter

Abstract

High-speed hysteresis motors are used in special industries such as medical centrifuges and gyroscopes. In spite of that they are synchronous motors; in some situations they may work in asynchronous speed. So, for reliable performance of hysteresis motor, closed loop control strategies are employed. On this way, speed/position of rotor must be known. Due to difficulty of using the speed sensors in high-speed hysteresis motor drives, employing the speed estimation and sensorless control techniques are more valuable. On the other hand, dynamic model of hysteresis motor is more complicated than other motors due to nonlinear characteristics of rotor's material. So, to estimate the state variables of nonlinear and uncertain model of hysteresis motor, this paper uses extended Kalman filter as a powerful and robust estimator to gain the rotor speed and flux. The satisfied simulation results confirm that proposed extended Kalman filter estimates the rotor speed and rotor flux accurately, and it has good static and dynamic performance.