Research Article
Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 26 - Issue 1 |
| Published: July 2011 |
| Authors: M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit |
10.5120/3066-4191
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M. B. Anandaraju, Dr. P.S. Puttaswamy, Jaswant Singh Rajpurohit . Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor. International Journal of Computer Applications. 26, 1 (July 2011), 37-43. DOI=10.5120/3066-4191
@article{ 10.5120/3066-4191,
author = { M. B. Anandaraju,Dr. P.S. Puttaswamy,Jaswant Singh Rajpurohit },
title = { Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 26 },
number = { 1 },
pages = { 37-43 },
doi = { 10.5120/3066-4191 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A M. B. Anandaraju
%A Dr. P.S. Puttaswamy
%A Jaswant Singh Rajpurohit
%T Genetic Algorithm: An approach to Velocity Control of an Electric DC Motor%T
%J International Journal of Computer Applications
%V 26
%N 1
%P 37-43
%R 10.5120/3066-4191
%I Foundation of Computer Science (FCS), NY, USA
Abstract
DC motor is a vital component in most of the process control industries. PID controllers are extensively used in DC motors for speed as well as position control. Tuning of PID controller parameters is an iterative process and needs complete optimization to achieve the desired performance. Genetic algorithm (GA) which is a well established tool for optimization has been used to extract PID controller parameters for the velocity control of the DC motor. Different error models are used for evaluating the fitness function. Velocity control is demonstrated using MATLAB/SIMULINK modeling.
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