DocumentCode
623299
Title
Ascending trajectory optimization of near-space airship based on Genetic Algorithm
Author
Xiaoguang Di ; Yafei Yang
Author_Institution
Control & Simulation Center, Harbin Inst. of Technol., Harbin, China
fYear
2013
fDate
19-21 June 2013
Firstpage
918
Lastpage
922
Abstract
The energy consumption of near-space airship during the ascending phase has an direct effect on its payload capability. Because of that, it is necessary to research on trajectory optimization of airship. At first, the models of various wind interference are given from the ground to the stratosphere and the trajectory optimization scheme of airship based on numerical method is proposed. Secondly, direct collocation method will be used to convert the optimal control problem into a parameter optimization problem, then Genetic Algorithm (GA) will be used to solve the nonlinear programming. Thirdly, the ascending trajectory is divided into three phases according to the altitude and wind interference. Finally, the simulation results of the trajectory optimization from ground to the appointed position under the consideration of wind interference will be shown.
Keywords
aerodynamics; airships; energy consumption; genetic algorithms; nonlinear programming; numerical analysis; optimal control; trajectory control; wind; airship trajectory optimization scheme; ascending trajectory optimization; direct collocation method; energy consumption; genetic algorithm; near-space airship; nonlinear programming; numerical method; optimal control problem; parameter optimization problem; payload capability; stratosphere; wind interference; Aerodynamics; Atmospheric modeling; Genetic algorithms; Interference; Mathematical model; Optimization; Trajectory; genetic algorithm; near-space airship; trajectory optimization; wind influence;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-6320-4
Type
conf
DOI
10.1109/ICIEA.2013.6566498
Filename
6566498
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