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Article:Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study

by Rahul Malhotra, Narinder Singh, Yaduvir Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 5
Year of Publication: 2010
Authors: Rahul Malhotra, Narinder Singh, Yaduvir Singh
10.5120/1073-1402

Rahul Malhotra, Narinder Singh, Yaduvir Singh . Article:Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study. International Journal of Computer Applications. 6, 5 ( September 2010), 37-46. DOI=10.5120/1073-1402

@article{ 10.5120/1073-1402,
author = { Rahul Malhotra, Narinder Singh, Yaduvir Singh },
title = { Article:Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 5 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 37-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number5/1073-1402/ },
doi = { 10.5120/1073-1402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:49.804673+05:30
%A Rahul Malhotra
%A Narinder Singh
%A Yaduvir Singh
%T Article:Design of Embedded Hybrid Fuzzy-GA Control Strategy for Speed Control of DC Motor: A Servo Control Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 5
%P 37-46
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, DC motor speed control models were mathematically extracted and implemented using artificial intelligence techniques. Due to multivariable and non-linear in nature, it is difficult to achieve the optimum speed of the motor. Conventional PI controller gives the maximum overshoot problem. To overcome the maximum overshoot, artificial intelligence techniques have been incorporated in the controller architecture. Fuzzy logic controlled model of DC motor is implemented, investigated and further optimised by the genetic algorithm for the optimal fuzzy rule base. Digital signal processor TMS320LF2407A is also tested to control the speed of servo motor. The transient time, steady state response and the performance criteria IAE and ITAE of the above controllers have been investigated. The result shows that the fuzzy logic- GA integrated approach has minimum overshoot, and minimum transient and steady state parameters, which shows the more effectiveness and efficiency of FLC-GA hybridisation than FLC and conventional PI model to control the speed of the motor.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy logic controller DC motor Genetic algorithm PI controller Embedded fuzzy controller

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