Performance Analysis of FLC-NR based Loss Minimisation Algorithm for BLDC Motor

Authors

  • Ashna Salim Student, Department of Electronics and Electrical Engineering, RIT Government Engineering College, Kottayam, Kerala, India
  • Prince A Associate Professor, Department of Electronics and Electrical Engineering, RIT Government Engineering College, Kottayam, Kerala, India

DOI:

https://doi.org/10.37591/.v8i3.1303

Abstract

Brushless DC motors are increasingly used in industry due to their high power density and ease of control. Efficiency of BLDC motor is reduced due to various losses like copper loss, core loss and switching loss. A fuzzy logic based loss minimisation algorithm is described in this study. Selective harmonic elimination-based pulse-width modulation to optimise both the converter switching losses along with machine core and copper losses is done based on a speed- and load-dependent fuzzy rule matrix. The optimum switching angles for eliminating lower-order harmonics are calculated using Newton Raphson algorithm. Performance analysis is done using MATLAB Simulink environment.


Keywords: Brushless DC motor, SHE PWM, Newton Raphson algorithm, Fuzzy Logic controller.

Cite this Article

Ashna Salim, Prince A. Performance Analysis of FLC-NR based Loss Minimisation Algorithm for BLDC Motor. Trends in Electrical Engineering. 2018; 8(3): 51–59p.


Published

2019-02-04

Issue

Section

Articles