DocumentCode
581909
Title
An approach for time-free optimal two-impulse trajectories using primer vector theory and Mathieu transformation
Author
Maodeng, Li ; Dayi, Wang ; Xiangyu, Huang
Author_Institution
Nat. Lab. of Space Intell. Control, Beijing Inst. of Control Eng., Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
2246
Lastpage
2253
Abstract
In this paper, a semi-analytical approach combining primer vector theory and Mathieu transformation for a time-free optimal two-impulse transfer problem is proposed. The Mathieu transformation provides analytical expressions of the primer vector and its derivative for each coast arc. Using necessary optimality conditions of primer vector theory, continuous property of positions, and Pontryagin´s necessary conditions for optimality, twenty seven algebraical equations with twenty seven unknown constants are derived for the time-free two-impulse transfer problem. By solving such twenty seven unknown parameters using a nonlinear least square method and a genetic algorithm, the two-impulse transfer trajectory is determined. Two numerical examples are given to demonstrate the effectiveness of the proposed approach. The approach can be also extended to time-free N-impulse (N >; 2) transfer problems by adding thirteen algebraical equations with thirteen unknown constants for each additional mid-coast arc.
Keywords
genetic algorithms; least squares approximations; maximum principle; space vehicles; vectors; Mathieu transformation; Pontryagin necessary optimality conditions; algebraical equations; analytical expressions; genetic algorithm; mid-coast arc; nonlinear least square method; position continuous property; primer vector theory; semianalytical approach; time-free N-impulse transfer problems; time-free optimal two-impulse trajectories; unknown constants; Acceleration; Equations; Mathematical model; Optimization; Orbits; Trajectory; Vectors; Mathieu transformation; impulse transfer; optimal fuel; primer vector theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390298
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