3-Dimensional lunar ascent reference trajectory optimization and analyses via Gauss Pseudospectral method

Wangwang Liu*, Weiren Wu, Shengying Zhu, Haibin Shang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

A Gauss Pseudospectral Method for trajectory optimization is presented and applied successfully to the 3-dimensional lunar ascent problem in this paper. Firstly, the profile of lunar ascent is discussed. In order to setup the optimal control problem, 3-dimensional dynamics and kinematics equations of the lunar ascent is established, the angle of attack and bank angle are chosen as optimal control variables. Then the Gauss Pseudospectral Method is used to transform the optimal control problem into a nonlinear programming problem. At last, the optimum trajectory is attained by a NLP solver. Simulation results and analyses illustrate that GPM have good robustness, strong convergence and is almost insensitive to initial guesses, it's an effective method for pre-establishing the suboptimal lunar ascent trajectory.

Original languageEnglish
Title of host publicationProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
Pages219-224
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 Chinese Control and Decision Conference, CCDC 2011 - Mianyang, China
Duration: 23 May 201125 May 2011

Publication series

NameProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Conference

Conference2011 Chinese Control and Decision Conference, CCDC 2011
Country/TerritoryChina
CityMianyang
Period23/05/1125/05/11

Keywords

  • Gauss Pseudospectral Method
  • Lunar Ascent
  • Nonlinear Programming
  • Trajectory Optimization

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