Fuzzy Logic based Speed Controlled In-Wheel Switched Reluctance Motor for Electric Vehicles

Abstract

This paper is aimed at the design of Fuzzy Logic Controller to control the speed of modified In-wheel Switched
Reluctance Motor (SRM). This research presents two objectives. Firstly, A Slight modification in the stationary and
rotary pole shoes with notches and projections are proposed with the objective of minimization of torque ripple and
maximization of average torque. Electromagnetic analysis using CAD tool MagNet 7.1.1 is performed for both
conventional and modified In-wheel SRM. From the FEA results, mean torque and percentage torque ripple values
are determined. The static modeling results of the machine were obtained. Secondly, conventional PI controller and
nonlinear Fuzzy Logic Controller are used to control the speed of modified In-wheel SRM in MATLAB/Simulink
environment. The result from the MATLAB simulation proves that performance of Fuzzy Logic Controller outweighs
the conventional PI controller.