5/2016 vol. 12
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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
 
 
Publication date: 2016-03-20
 
 
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
 
 
EURASIA J. Math., Sci Tech. Ed 2016;12(5):1303–1312
DOI: https://doi.org/10.12973/eurasia.2016.1514a
 
 
Article (PDF)
 
KEYWORDS
education software
fuzzy logic controller (FLC)
genetic algorithm optimization (GAO)
motion flight path planning
 
TOPICS
E-Learning
Science Education
Technology Education
 
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.
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