Performance evaluation of Hybrid Fuzzy PI speed controller for Brushless DC motor for Electric vehicle application

In future Electric vehicles (EV) are trend setters for transportation with zero greenhouse gas emission and higher efficiency. In EV applications, Brushless DC motors (BLDCM) are most predominantly used. Here, a Hybrid Fuzzy PI controller is intended for effective speed regulation of BLDCM. In general, Fuzzy logic controllers (FLC) provide better transient performance and results steady state error. The PI speed controller gives good steady state performance but poor transient performance. For getting an excellent performance, the referred Hybrid fuzzy PI controller combines the merits of the above two controllers. Also, this paper presents relative study among PI, FLC and Hybrid Fuzzy PI controller for a BLDCM. In Matlab/Simulink environment, the BLDCM with proposed controller is designed and simulated. Results prove the predominance of intended Hybrid Fuzzy PI for BLDC motors.