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Minimum-Fuel Powered Descent Guidance for Mars Landing

  • School of Astronautics, Harbin Institute of Technology

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

Abstract

Motivated by the requirement for pinpoint landing in the future Mars missions, this paper presents a convex programming algorithm for the numerical solution of the minimum fuel powered descent guidance problem. For the engine's variable thrust, based on factors like amplitude of the thruster, the Martian surface constraint, descent inclination, this paper describes the problem of fuel-optimal precise soft landing at the power descent phase and gives the corresponding equivalent optimization problem; then the equivalent optimization problem is discretized and converted to the optimization problem with consideration of linear constraints and second order cone constraints. Finally, through the simulation analysis of typical-fuel optimal landing trajectory, it can be concluded: the resulting guidance algorithm can potentially be implemented onboard a spacecraft for real-time application.

Original languageEnglish
Title of host publicationProceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages376-383
Number of pages8
ISBN (Electronic)9781538672297
DOIs
StatePublished - 18 Sep 2018
Externally publishedYes
Event9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018 - Budapest, Hungary
Duration: 10 Jul 201813 Jul 2018

Publication series

NameProceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018

Conference

Conference9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
Country/TerritoryHungary
CityBudapest
Period10/07/1813/07/18

Keywords

  • convex optimization
  • discrete linearized
  • guidance
  • mars landing

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