BAZ, RACHIDA (University Hassan II, Faculty of Science and Technology, Mohamme), EL MAJDOUB, Khalid (University Hassan II, ENSEM, Ecole Nationale Supérieure d'Electr), Giri, Fouad (University of Caen Normandie), ossama, Ammari (University Hassan II, Faculty of Science and Technology)

Fine Tuning Quarter Vehicle Performance: PSO Optimized Fuzzy PID Controller for in Wheel BLDC Motor Systems

Scheduled for presentation during the Regular Session "Estimation and control techniques for power systems" (FriS1T4), Friday, July 12, 2024, 10:00−10:20, Session room 4

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

This paper introduces an enhanced approach for monitoring the speed of an electric car propelled by a brushless DC motor (BLDC) through the utilization of particle swarm optimization (PSO). The aim is to optimize the proportional (Kp), integral (Ki), and derivative (Kd) gains of the PID controller in conjunction with the fuzzy controller. The system architecture is meticulously modeled, and optimization is conducted within the MATLAB/Simulink environment. Through rigorous experimentation, the proposed methodology showcases superior efficacy in minimizing error compared to conventional techniques. By synergizing PSO with PID and fuzzy control, the study demonstrates a promising avenue for enhancing the speed control system of BLDC-powered electric cars, thereby advancing the field of electric vehicle technology toward greater efficiency and performance.