Application of Finite Set Model Predictive Control to Five-Phase Induction Motors

Due to the large consumption of fossil fuels and the increasingly serious air pollution problem caused by the exhaust emissions of fuel vehicles, the new energy system with green and low-carbon development as the core has made great progress. The motor is a key component of new energy vehicles, and excellent motor control technology directly affects the operation and safety performance of electric vehicles, so high-performance motors and their control technologies are very important for the development of electric vehicles. Among them, the two commonly used high-performance motor control technologies include direct torque control and vector control, but with the rapid development of modern power electronics, finite set model predictive control has been gradually extended from three-phase motor systems to multi-phase systems. To study the performance of finite set model predictive control in multi-phase motors, this paper takes the five-phase induction motor as the control object. It utilizes the model predictive current controller instead of the traditional PI current controller, which simplifies the control system. At the same time, the static and dynamic characteristics of the system also show good performance. The high-performance control technology of multi-phase motor is a key technology in the field of electric power transportation, in the future life, the application of multi-phase motor will be gradually expanded from the field of ship power propulsion, aerospace, and other fields to the pure electric vehicles and hybrid vehicles, so the research of the new type of control technology for the application and promotion of five-phase induction motors plays a vital role.