Sensorless control scheme for continuously estimating rotor position and speed of switched reluctance motor drives based on two-dimensional least squares

Abstract

This study presents a control scheme to continuously estimate the rotor position and speed of sensorless switched reluctance motor (SRM) drives. The estimation model is based on the two-dimensional (2D) least squares technique. For the proposed estimation scheme, only the rotor position to the optimal sensing phase being the active phase via measuring the current and the voltage is estimated. Furthermore, the position correction algorithm is proposed, which can be used to eliminate the fatal effect of the unexpected interface errors in the voltage or current measurement on the rotor position estimation. Because the presented scheme includes the estimation model based on the 2D least squares optimization technique, optimal sensing phase approach, and position correction algorithm, the high resolution of the rotor position estimation can be obtained. The simulation results under the current hysteresis and voltage single-pulse operations validated the proposed sensorless control scheme.