Predictive Position Control With Stable Control Parameters of Planar Switched Reluctance Motors

This article proposes a predictive position control (PPC) approach with stable control parameters of planar switched reluctance motors (PSRMs) for 2-D positioning systems. The motivation is to determine the controller parameters for guaranteeing a stable closed-loop PSRM control system. For the PSRM designed in our lab, the dynamic behaviors are described employing a discrete-time state-space model. Then, a prediction model is built for the position prediction in the future on account of the established state-space model. By minimizing the defined cost function based on the built prediction model, the optimal control sequence is derived. Moreover, the stability analysis is presented and the stable control parameters are determined by using the closed-loop state-space model. Finally, the experimental results verify the validity of PPC approach.