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A New Optimal Fuzzy Logic Guidance Law using Time Variant Particle Swarm Optimization

by Labeed Hassan, Seyed Hossein Sadati, Mohamad Bagher Malaeak, Mohamad Ali Ashtiani, Jalal Karimi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 7
Year of Publication: 2013
Authors: Labeed Hassan, Seyed Hossein Sadati, Mohamad Bagher Malaeak, Mohamad Ali Ashtiani, Jalal Karimi
10.5120/12508-9121

Labeed Hassan, Seyed Hossein Sadati, Mohamad Bagher Malaeak, Mohamad Ali Ashtiani, Jalal Karimi . A New Optimal Fuzzy Logic Guidance Law using Time Variant Particle Swarm Optimization. International Journal of Computer Applications. 72, 7 ( June 2013), 34-37. DOI=10.5120/12508-9121

@article{ 10.5120/12508-9121,
author = { Labeed Hassan, Seyed Hossein Sadati, Mohamad Bagher Malaeak, Mohamad Ali Ashtiani, Jalal Karimi },
title = { A New Optimal Fuzzy Logic Guidance Law using Time Variant Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 7 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number7/12508-9121/ },
doi = { 10.5120/12508-9121 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:19.027777+05:30
%A Labeed Hassan
%A Seyed Hossein Sadati
%A Mohamad Bagher Malaeak
%A Mohamad Ali Ashtiani
%A Jalal Karimi
%T A New Optimal Fuzzy Logic Guidance Law using Time Variant Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 7
%P 34-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

New Optimal Fuzzy Logic Guidance (NOFLG) law for the class of surface to air homing missile is proposed. The introduced approach is a modification of Optimal Fuzzy Logic Guidance (OFLG) law. Time Variant Particle Swarm Optimization (TVPSO) is used to optimize both Membership Functions (MFs) and rules' weights of the proposed design. The performance of the new guidance law is compared with that of OFLG one. Different case-studies show that the current approach provides better performance in regard to; miss distance, flight time and control effort.

References
  1. A. Moharampour, J. Poshtan and A. Khaki Sedigh, 2010. "A Modified Proportional Navigation Guidance for Accurate Target Hitting. " Iranian Journal of Electrical & Electronic Engineering, Vol. 6, No. 1, pp 20-28.
  2. Z. Shiyu, Z. Rui, W. Chen, and D. Quanxin, 2010. "Design of Time-constrained Guidance Laws via Virtual Leader Approach. " Chinese Journal of Aeronautics, Vol. 23,No. 1 pp. 103-108.
  3. P. Zarchan, 2007. "Tactical and Strategic Missile Guidance," 5th edition, AIAA,
  4. Clerc, M. and Kennedy, J. "The particle swarm - explosion, stability, and convergence in a multidimensional complex space". 2002. IEEE Transactions on Evolutionary Computation, Vol 6, No. 1, pp. 58-73.
  5. Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay and Sankar Kumar Pal, 2007. "Multi Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. " Information Sciences Vol. 177, No. 22, pp. 5033–5049.
  6. Labeed Hassan, Seyed Hossein Sadati and Jalal Karimi, 2013. "An Optimal Fuzzy Logic Guidance Law Using Particle Swarm Optimization. " International Journal of Computer Applications, Vol. 69, No. 3, pp. 40-47.
  7. Qinghai Bai, 2010. "Analysis of Particle Swarm Optimization Algorithm. " CCSE, computer and information science, Vol. 3, No. 1. PP. 180-184.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Time Variant Particle Swarm Optimization Proportional Navigation Guidance

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