Speed Control of Brushless DC Motor Using Soft Computing Techniques

Authors

  • Abhishek D. Gandhi Student, Instrumentation & Control Department, AITS, Rajkot, India
  • Suryaprakash Singh Assistant Professor, Electrical Department, AITS, Rajkot, India
  • Bhautik M. Daxini Assistant Professor, Instrumentation & Control Department, AITS, Rajkot, India

Keywords:

BLDC, ANFIS, FLC, GGM, PID Controller

Abstract

Brushless DC (BLDC) Motors are widely used in industries because of their high effici ency and high torque.
This paper proposed Conventional and Intelligent controllers to control the speed of BLDC Motor. This paper provides an
overview of PID, Fuzzy and ANFIS controller. PID controllers are insufficient to control the speed of BLDC motor as it gives
high overshoot in the response. So for the better performance, soft computing techniques such as Fuzzy, Fuzzy+P
ID and ANFIS are used. The simulation results verify that ANFIS has better control performance than the PID and other soft
computing techniques. The modeling, control and effects are studied through computer simulation using
MATLAB/SIMULINK toolbox.

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Published

2015-05-25

How to Cite

Abhishek D. Gandhi, Suryaprakash Singh, & Bhautik M. Daxini. (2015). Speed Control of Brushless DC Motor Using Soft Computing Techniques. International Journal of Advance Engineering and Research Development (IJAERD), 2(5), 222–230. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/816

Issue

Vol. 2 No. 5 (2015): Volume 2 Issue 5, May 2015

Section

Articles

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