Model Predictive Torque Control of Switched Reluctance Machine based on Torque-balanced Measurement and Flux-based Torque Estimation

Due to inherently double salient structure and saturated magnetic circuit, the switched reluctance machines (SRMs) can generate unacceptable torque ripple, which limits their application for more electric aircraft (MEA). This paper presents a low-measurement effort but effective method to reduce torque ripple. First, a torque-balance measurement method is presented to obtain the partial flux-linkage characteristics. Then, a mathematic model is proposed to describe the entire flux-linkage and torque characteristics. Based on the proposed mathematic model, a novel model predictive torque control is implemented to minimize the torque ripple with flux-based torque estimation. Simulation and experimental results verify the effectiveness of the proposed method.