Performance Evaluation of Speed Behaviour of Fuzzy-PI Operated BLDC Motor Drive

Abstract

In many applications, brushless direct current (BLDC) motor drives use fuzzy logic controllers for speed control owing to their advantages like auto-tuning of parameters, wide operational range, low computational requirements and low cost. However, the effect of different rulesets on the transient and steady-state speed Behaviour of BLDC motors has not been widely covered in the literature. The contribution of this paper includes speed characteristics of the triangular membership function (trimf) based fuzzy proportional-integral (FPI) controller is evaluated. Rulesets of 3 × 3, 5 × 5 and 7 × 7 formed using 3, 5 and 7 trimfs are compared for their Behaviour and time required for performing computations for speed benchmark of the BLDC motor used in comprehensive electric vehicle (EV) applications. The fuzzy logic control algorithm is implemented by means of Mathworks’ Fuzzy Logic Tool-set. The results are substantiated using MATLAB/Simulink. It is thereby concluded that increasing the number of membership functions improves the dynamic and steady-state behaviour of the BLDC motor.