Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm

被引:16
作者
Bakar, Abu [1 ]
Ke, Li [1 ]
Liu, Haobo [1 ]
Xu, Ziqi [1 ]
Wen, Dongsheng [1 ,2 ]
机构
[1] Beihang Univ, Sch Aeronaut Sci & Engn, Natl Key Lab Human Machine & Environm Engn, Beijing 100191, Peoples R China
[2] Univ Leeds, Sch Chem & Proc Engn, Leeds LS2 9JT, W Yorkshire, England
关键词
solar-powered UAV (unmanned aerial vehicle); genetic algorithm; optimization; LQR (linear quadratic regulator); PID (proportional integral derivative); UNMANNED AERIAL VEHICLE;
D O I
10.3390/aerospace8080228
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper presents a novel framework for the design of a low altitude long endurance solar-powered UAV for multiple-day flight. The genetic algorithm is used to optimize wing airfoil using CST parameterization, along with wing, horizontal and vertical tail geometry. The mass estimation model presented in this paper is based on structural layout, design and available materials used in the fabrication of similar UAVs. This model also caters for additional weight due to the change in wing airfoil. The configuration is optimized for a user-defined static margin, thereby incorporating static stability in the optimization. Longitudinal and lateral control systems are developed for the optimized configuration using the inner-outer loop strategy with an LQR and PID controller, respectively. A six degree-of-freedom nonlinear simulation is performed for the validation of the proposed control scheme. The results of nonlinear simulations are in good agreement with static analysis, validating the complete design process.
引用
收藏
页数:24
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