Low thrust gravity assist transfer trajectory design and optimization based on hybrid optimization method

Zun Hui Zhao*, Hai Bin Shang, Ping Yuan Cui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Low thrust gravity assist(LTGA) trajectory design and optimization is a key point in deep space trajectory design. The solution space of LTGA problem is complex and has many local minimum points. In this paper, a hybrid design method is brought. First the optimization model is brought based on discrete impulse and B plane model. Then global optimization methods are used for searching problem initial values. Last based on the former search, sequential quadratic programming is used for getting the accurate answer. Numerical simulations have demonstrated the effectiveness of the global optimization algorithm for getting the initial values of variables. Also reliability of the approach proposed can be validated.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages1909-1914
Number of pages6
Publication statusPublished - 2011
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: 22 Jul 201124 Jul 2011

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference30th Chinese Control Conference, CCC 2011
Country/TerritoryChina
CityYantai
Period22/07/1124/07/11

Keywords

  • Differential Evolution
  • Low thrust gravity assist
  • Sequential quadratic programming
  • Simulated Annealing

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