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Trajectory Optimization and Analysis for Near Spacecraft’s Unpowered Gliding Phase

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 148)

Abstract

According to the disadvantages of indirect method for trajectory optimization, that initial value the for conjugate variables are highly sensitive and can not obtain the global optimal solution, this paper introduced hybrid genetic algorithm to search initial value of conjugate variables, solved equations to obtain the track of Near Spacecraft at unpowered gliding phase. In the optimization process, the author takes the constraints of heating rate, dynamic pressure and overload into consideration, and optimizes the trajectory of under different initial factors. Numerical simulations confirm the applicability of the presented algorithm. Considering practical applications, some typical spacecraft gliding trajectory are optimized. The discussion of the numerical simulations gives some valuable opinions in practical applications.

Keywords

Near Spacecraft hybrid genetic algorithm Trajectory Optimization 

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References

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Mechatronical EngineeringBeijing Institute of TechnologyBeijingChina
  2. 2.R&D CentreChina Academy of Launch Vehicle TechnologyBeijingChina

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