Design Genetic Algorithm Optimization Education Software based Fuzzy Controller for a Tricopter Fly Path Planning
Huu-Khoa Tran 1, Juing-Shian Chiou 2 * , Shou-Tao Peng 3
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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

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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2016.1514a

EURASIA J Math Sci Tech Ed, 2016 - Volume 12 Issue 5, pp. 1303-1312

Publication date: 20 Mar 2016

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Article Downloads: 154

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