High-precision position control of the planar switched reluctance motor using a stable adaptive controller

Abstract

This paper proposes a stable adaptive controller based on the model reference control approach for high-precision positioning of the planar switched reluctance motor (PSRM), in the presence of nonlinearity and imprecise modeling of the motor. The required parameters of the PSRM model are obtained using an online parameter identification method. With the parameters of the PSRM model, the adjustable parameter vector of the controller is initialized in order to further enhance the performance of the PSRM system. Taking the thrust force command as the control signal, the stable adaptive controller is designed based on the concept of positive realness. The Simulation results on the positioning of the PSRM system demonstrate that the stable adaptive controller is capable of high-precision positioning with the desired performance. The effectiveness of the stable adaptive controller for the high-precision positioning of the PSRM is verified through the research results.