Fuzzy logic based High Speed SRM Using Vector Control for Electric Vehicle Applications

Abstract

High-speed motors are essential for accomplishing the reduction in size of motors for electric vehicles (EVs). The Switched Reluctance Motor (SRM) is notable for its capacity in high-speed drives as a result of its uncomplicated and sturdy rotor configuration. Nevertheless, obstacles such as substantial vibration and acoustic noise, as well as the intricacy of traditional current excitation techniques, impede the development of an efficient torque controller. In order to tackle these problems, the use of vector control has been suggested for SRM drives. However, its utilization in the high-speed range has not been thoroughly investigated. This study examines the necessary driving conditions, such as switching frequency and bus voltage, for achieving effective functioning of a SRM in the high-speed range. The research shows that the suggested SRM may be efficiently operated utilizing fuzzy logic-based vector control in high-speed situations, resulting in decreased vibration levels. Fuzzy logic controllers (FLCs), renowned for their exceptional performance in intricate, non-linear, or ill-defined systems, are used to augment the control strategy. The controllers use fuzzy sets, facilitating a seamless shift from membership to non-membership, hence enhancing the overall performance of the system. The results emphasize the potential of using fuzzy logic-based vector control as a viable method to advance high-speed SRM technology in electric vehicle applications. This led to improved efficiency and decreased vibrations in electric propulsion systems.