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Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor

by Debasmit Das, Arka Ghosh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 4
Year of Publication: 2013
Authors: Debasmit Das, Arka Ghosh
10.5120/12731-9575

Debasmit Das, Arka Ghosh . Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor. International Journal of Computer Applications. 73, 4 ( July 2013), 37-41. DOI=10.5120/12731-9575

@article{ 10.5120/12731-9575,
author = { Debasmit Das, Arka Ghosh },
title = { Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 4 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number4/12731-9575/ },
doi = { 10.5120/12731-9575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:12.139155+05:30
%A Debasmit Das
%A Arka Ghosh
%T Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 4
%P 37-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Determination of the parameters of the membership functions of a fuzzy logic control process is the crucial factor for providing optimum performance of the system. These parameters are regarded as variables and are tuned through Particle Swarm Optimization (PSO). The shape of the membership functions vary according to the variables. Consequently, the fuzzy control output changes and so does the performance. The results give an insight to the efficiency of PSO in producing optimum membership functions in real time. This controller can be applied to various control systems like AGC(Automatic Generation Control), DC motors etc. . Demonstration for the latter is shown in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MF MATLAB SIMULINK PSO Fuzzy

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