Optimization of fuzzy membership functions via PSO and GA with application to quad rotor

Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In th...

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Main Authors: B. Safaee, S. K. Kamaleddin Mousavi Mashhadi
Format: Article
Language:English
Published: Shahrood University of Technology 2017-03-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Online Access:http://jad.shahroodut.ac.ir/article_747_fcb7252b94d11547f09ba064a89ccd56.pdf
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author B. Safaee
S. K. Kamaleddin Mousavi Mashhadi
author_facet B. Safaee
S. K. Kamaleddin Mousavi Mashhadi
author_sort B. Safaee
collection DOAJ
description Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this paper fuzzy membership functions of the quad rotor’s fuzzy controllers are optimized using nature-inspired algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Finally, the results of the proposed methods are compared and a trajectory is defined to verify the effectiveness of the designed fuzzy controllers based on the algorithm with better results.
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spelling doaj.art-fd552f6bddbd462e80aeae931f1078752022-12-22T00:44:10ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442017-03-015111010.22044/jadm.2016.747747Optimization of fuzzy membership functions via PSO and GA with application to quad rotorB. Safaee0S. K. Kamaleddin Mousavi Mashhadi1School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this paper fuzzy membership functions of the quad rotor’s fuzzy controllers are optimized using nature-inspired algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Finally, the results of the proposed methods are compared and a trajectory is defined to verify the effectiveness of the designed fuzzy controllers based on the algorithm with better results.http://jad.shahroodut.ac.ir/article_747_fcb7252b94d11547f09ba064a89ccd56.pdfFuzzy controllerGAMembership functionsPSOQuad rotor
spellingShingle B. Safaee
S. K. Kamaleddin Mousavi Mashhadi
Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
Journal of Artificial Intelligence and Data Mining
Fuzzy controller
GA
Membership functions
PSO
Quad rotor
title Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
title_full Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
title_fullStr Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
title_full_unstemmed Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
title_short Optimization of fuzzy membership functions via PSO and GA with application to quad rotor
title_sort optimization of fuzzy membership functions via pso and ga with application to quad rotor
topic Fuzzy controller
GA
Membership functions
PSO
Quad rotor
url http://jad.shahroodut.ac.ir/article_747_fcb7252b94d11547f09ba064a89ccd56.pdf
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