Design Genetic Algorithm Optimization Education Software based Fuzzy Controller for a Tricopter Fly Path Planning
 
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1
Department of Electronics-Telecommunication, Saigon University, HCM, Vietnam
2
Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan.
3
Mechanical Engineering Department, Southern Taiwan University of Science and Technology, Tainan, Taiwan
CORRESPONDING AUTHOR
Juing-Shian Chiou   

Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan., 1, Nan-Tai St., Yong-Kang Dist., Tainan City, Taiwan, 71005 Tainan, Taiwan
Publish date: 2016-03-20
 
EURASIA J. Math., Sci Tech. Ed 2016;12(5):1303–1312
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ABSTRACT
In this paper, the feasibility of a Genetic Algorithm Optimization (GAO) education software based Fuzzy Logic Controller (GAO-FLC) for simulating the flight motion control of Unmanned Aerial Vehicles (UAVs) is designed. The generated flight trajectories integrate the optimized Scaling Factors (SF) fuzzy controller gains by using GAO algorithm. The proposed controller underlines the superior tracking performance over standard Fuzzy Logic Controller. It is highly adaptive and can counteract environmental disturbances while guaranteeing global asymptotic stability and robust waypoint tracking.
eISSN:1305-8223
ISSN:1305-8215