Analysis of Non-Linear Dynamic Characteristics of Fuzzy-Based SRM Drive for Electric Vehicle Applications

Abstract

The Role of Switched Reluctance Motor (SRM) is widespread in all Smart Manufacturing Industries which includes Electric Vehicle applications and Robotics. Even though the SRM has many features torque ripple is the limiting factor. Fuzzy logic Control, a part of an Artificial Intelligence-based approach, is implemented in  PID Controller-based SRM Drive.  Conventional PID controllers are used to minimize torque ripples only at the steady state. However, a Fuzzy-based PID controller is used to minimize torque ripples in both the dynamic and steady state. The objective of the fuzzy Logic controller here is to compare the reference torque with the actual torque and to determine the Torque ripples in the motor. The torque ripples are eliminated with the help of a PID control action. Fuzzy logic controller Output is given to the Asymmetric type bridge converter so that the current pulses are applied to the SRM. The Mamdani type fuzzy inference system is used and the defuzzification type is the centroid.   Torque ripples are minimized with the proposed fuzzy logic controller-based SRM Drive.