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An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization

by Labeed Hassan, Sayed Hosain Sadati, Jalal Karimi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 3
Year of Publication: 2013
Authors: Labeed Hassan, Sayed Hosain Sadati, Jalal Karimi
10.5120/11825-7526

Labeed Hassan, Sayed Hosain Sadati, Jalal Karimi . An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization. International Journal of Computer Applications. 69, 3 ( May 2013), 40-47. DOI=10.5120/11825-7526

@article{ 10.5120/11825-7526,
author = { Labeed Hassan, Sayed Hosain Sadati, Jalal Karimi },
title = { An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 3 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number3/11825-7526/ },
doi = { 10.5120/11825-7526 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:16.292976+05:30
%A Labeed Hassan
%A Sayed Hosain Sadati
%A Jalal Karimi
%T An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 3
%P 40-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An Optimal fuzzy logic guidance (OFLG) law for a surface to air homing missile is introduced. The introduced approach is based on the well-known proportional navigation guidance (PNG) law. Particle Swarm Optimization (PSO) is used to optimize the of the membership functions' (MFs) parameters of the proposed design. The distribution of the MFs is obtained by minimizing a nonlinear constrained multi-objective optimization problem where; control effort and miss distance are treated as competing objectives. The performance of the introduced guidance law is compared with classical fuzzy logic guidance (FLG) law as well as PNG one. The simulation results show that OFLG performs better than other guidance laws. Moreover, the introduced design is shown to perform well with the existence of noisy measurements.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Particle Swarm Optimization Proportional Navigation Guidance

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