Model Predictive Current Control Combined Sliding Mode Control for Flux Switch Permanent Magnet Machine Drive System

A flux-switching permanent-magnet synchronous machine (FSPMSM) has shown advantages, including strong mechanical robustness, high torque density, and acceptable fault redundancy potential, and started to find a market in various fields in electric vehicle, ship, airplane, and wind generation. However, a double salient structure and a high number of pole pairs cause the FSPMSM to experience great torque ripple and converter switching reduction, compromising its performance. Optimizing the machine design can significantly decrease the speed ripple and torque, often resulting in increased manufacturing costs, lower efficiency, and lower power density. Alternatively, several control-based solutions have been explored. One of the existing methods to minimize the torque control ripple is model predictive control (MPC); the most attractive method among them is model predictive current control (MPCC). In the speed outer loop design of MPC, the traditional PI control approach is often employed in FSPMSM controller design due to its ease of use and stability. However, it is hard to obtain suitable results due to its low control accuracy. In order to address this issue, this paper suggests MPCC combined sliding mode control (SMC) for three phases of flux-switching permanent magnet motor to improve the dynamic response of the MPCC. The simulated results imply that the suggested SMC combined MPCC scheme presents acceptable dynamic performances compared to the conventional MPCC strategy.