Comparative analysis of speed control of BLDC motor using PI, simple FLC and Fuzzy - PI controller

Abstract

This paper presents the comparative analysis between the speed control of electronically commuted Brushless DC motor (BLDC) using conventional controllers like Proportional Integrative (PI) controllers, Simple Fuzzy Logic Controller (FLC) and Hybrid Fuzzy - PI controller with the help of MATLAB / SIMULINK. The conventional PI controllers are the most useful controller in industries until now. But it gives the poor performance under various operating conditions and for non-linear mode as compared to FL controller. The simples FLC is easy to develop but it sometimes cannot use in motor application and also needs automatic tuning. It takes more time and memory space while running on real time application. So to overcome this problem, Hybrid Fuzzy - PI controller is proposed. In the proposed system Fuzzy controller is tuned with conventional PI controller by using only 21 Mamdani linguistic rules. The proposed system improve the performance of motor and other operating condition such as rise time, settling time, percentage of overshoot and stability phenomenon etc. The response of the system can be observed from the above controllers with the help of MATLAB / SIMULINK.