Predictive Control Techniques for Switched Reluctance Motor: An Overview

The Switched Reluctance Motor (SRM) is a developing electric drive innovation that outperforms the Induction Motor (IM) and the Permanent Magnet Synchronous Motor (PMSM) in numerous industrial uses, including Electric Vehicles, HVAC Systems, and applications that demand high speeds and reliable fault tolerance. Nonetheless, it has many drawbacks, such as Torque Ripple, Acoustic Noise, and Non-Linear Torque Characteristics, which may restrict its use in certain industrial settings. This article gives an overview of Predictive Control (PC) techniques for controlling current-torque and Torque-Speed characteristics, thereby eliminating main issues such as torque ripple and current ripple, and compensating for Nonlinear Torque characteristics. The paper analyzes Model-based Predictive Control (MPC) techniques and Model-free Predictive Control techniques from a modeling perspective, including switching vector optimization methods, cost function choices, and control efficiency. Finally, the existing difficulties and future advancements in implementing MPC schemes in SRM are discussed.