Torque Ripple Reduction of the SRM Motor Using Nonlinear Controller for Electric Vehicles Application

Abstract

In an attempt to decrease the torque ripple of the SRM motor in an electric car application, the direct torque control (DTC) approach, based on the fuzzy logic controller (FLC), is described in this research. The fuzzy logic controller has two inputs: speed and speed error, which are utilized by the SRM torque control loop. The 49-rule set also controls the FLC. The results show that the FLC reduces the motor's torque ripple more effectively than PI controllers. It makes the drive insensitive to parameter changes and compensates for the nonlinear torque characteristics of SRM. Additionally, the electromagnetic torque of the proposed FLC is more uniform than that of the conventional PI. The effectiveness of this FLC has also been demonstrated using MATLAB/SIMULINK simulation. Through simulation, the significance of this FLC technique has been shown.