Performance Studies of Integrated Fuzzy Logic Controller for Brushless Dc Motor Drives Using Advanced Simulation Model

This paper introduces an Integrated fuzzy logic controller (IFLC) for brushless dc (BLDC) motor drives using advanced simulation model and presents a comparative study of performances of PID controller and IFLC. The dynamic characteristics of speed and torque are effectively monitored and analyzed using the proposed model. The aim of IFLC is to obtain improved performance in terms of disturbance rejection or parameter variation than obtained using PID controller. The IFLC is constructed by using Fuzzy logic controller (FLC) and PID controller. A performance comparison of the controllers is also given based on the integral of the absolute value of the error (IAE), the integral of the squared error (ISE), the integral of the time-weighted absolute error (ITAE) and the integral of the timeweighted squared error (ITSE). The results show the effectiveness of the proposed controller.