Design Genetic Algorithm Optimization Education Software Based Fuzzy Controller for a Tricopter Fly Path Planning

Autor/inn/en	Tran, Huu-Khoa; Chiou, Juing -Shian; Peng, Shou-Tao
Titel	Design Genetic Algorithm Optimization Education Software Based Fuzzy Controller for a Tricopter Fly Path Planning
Quelle	In: EURASIA Journal of Mathematics, Science & Technology Education, 12 (2016) 5, S.1303-1312 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Design; Mathematical Models; Computer Software; Computer Simulation; Feasibility Studies; Flight Training; Aviation Education; Motion; Accuracy; Aviation Technology; Mathematics + Suchen Sie Ihr Suchwort? Mathematical model; Mathematisches Modell; Computergrafik; Computersimulation; Bewegungsablauf; Flugtechnik; Mathematik
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01