Speed Control of Brushless DC Motor Using Soft Computing Techniques
| Author(s) | : | Abhishek D. Gandhi, Suryaprakash Singh, Bhautik M. Daxini |
| Institution | : | Student, Instrumentation & Control Department, AITS, Rajkot, India |
| Published In | : | Vol. 2, Issue 5 — May 2015 |
| Page No. | : | 222-230 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
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 anoverview of PID, Fuzzy and ANFIS controller. PID controllers are insufficient to control the speed of BLDC motor as it giveshigh overshoot in the response. So for the better performance, soft computing techniques such as Fuzzy, Fuzzy+PID and ANFIS are used. The simulation results verify that ANFIS has better control performance than the PID and other softcomputing techniques. The modeling, control and effects are studied through computer simulation usingMATLAB/SIMULINK toolbox.
Abhishek D. Gandhi, Suryaprakash Singh, Bhautik M. Daxini, “Speed Control of Brushless DC Motor Using Soft Computing Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 222-230, May 2015.
