Control Strategies of Rotor Positioning for Switched Reluctance Motor by Model Predictive Control

SRMs, or switched resistance motors, are becoming a well-liked substitute for permanent magnet motors in high-performance growing markets including aerospace and automobile. However, because of its nonlinear behavior, control is a challenge, which limits its market attractiveness. Given that model predictive control (MPC) is well-suited to handle complex systems, nonlinearities, and limitations, it appears to be a viable solution to this issue. Nevertheless, in comparison to other drives, SRM applications are still in their infancy. The purpose of this study is to review the latest developments in MPC for SRMs and to offer an outlook for its future growth and uses. The article outlines the primary challenges with SRM control and the various strategies MPC has used to date to address them. It also examines the specific difficulties faced by SRM drives, the control objectives that still need to be taken into account, and how recent advancements in MPC in conventional AC drives can be applied to the SRM scenario. In this study, speed control of the four-phase 8/6 SRM is presented based on DITC. The FEM identification of the intrinsic non-linearity in SRM provides acceptable outcomes in this scenario. Ultimately, improved speed and torque ripple performance in four phase 8/6 SRM is achieved by implementing the suggested control method that modifies the phase turn-off.