Model Predictive Control of Switched Reluctance Starter/Generator With Torque Sharing and Compensation
Shoujun Song, Runshan Hei, Ruiqing Ma, Weiguo Liu
Abstract
To enhance the mechanical safety, guarantee sufficient temperature margin and reduce the high-frequency electromagnetic interference of the starter/generator embedded in the aero engine, a multiobjective optimization control method is proposed for the switched reluctance machine based on the model prediction and the torque sharing function (TSF). For the model predictive control, the instantaneous phase torque is estimated through the Hermite interpolation with the flux-linkage characteristics at the aligned and unaligned rotor position, and the reference phase torque is obtained by the TSF. The error between the estimated and real instantaneous torque, especially around the unaligned rotor position, will result in the performance degradation, which is effectively compensated by the new TSF. The performances of the proposed control method are evaluated in detail by the simulation and experiment, and comparison with other representative methods is carried out as well.