DocumentCode :
577569
Title :
Solar sail spacecraft trajectory optimization based on improved imperialist competitive algorithm
Author :
Wang, Yong ; Zhu, Min ; Wei, Yiheng ; Zhang, Yang
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
191
Lastpage :
195
Abstract :
In this paper we discuss the minimum-time orbit transfers of solar sail spacecraft for Mercury sample return missions using solar radiation pressure. In order to find the minimum-time trajectory transfers, the optimal pitch angle of the solar sail has to be determined. We transform the optimal control problem to parameterized nonlinear programming problem by using the direct shooting method. Then, the improved imperialist competitive algorithm is used to optimize the pitch angle and the transfer time of the solar sail. Thus, we can obtain the optimal transfer trajectory according to the sail´s orbital dynamics. Furthermore, transfers from the Earth orbit to Mercury and from the Mercury orbit to Earth of the solar sail is simulated, the results show that it meets the orbit terminal constraints well and the results in this paper are better than the existing results.
Keywords :
nonlinear programming; optimal control; space vehicles; trajectory control; Earth orbit; Mercury orbit; Mercury sample return missions; direct shooting method; imperialist competitive algorithm; minimum time orbit transfers; minimum time trajectory transfers; optimal control problem; optimal pitch angle; optimal transfer trajectory; orbit terminal constraints; parameterized nonlinear programming; sail orbital dynamics; solar radiation pressure; solar sail spacecraft trajectory optimization; transfer time; Aerodynamics; Earth; Optimization; Orbits; Propulsion; Space vehicles; Trajectory; Mercury sample return missions; direct shooting method; improved imperialist competitive algorithm; solar sail; trajectory optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6357865
Filename :
6357865
Link To Document :
بازگشت