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  • 标题:A Predictive Guidance Algorithm for Autonomous Asteroid Soft Landing ⁎
  • 本地全文:下载
  • 作者:Julio C. Sanchez ; Francisco Gavilan ; Rafael Vazquez
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:12
  • 页码:6-11
  • DOI:10.1016/j.ifacol.2018.07.080
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe objective of this work is to present a closed-loop guidance algorithm for landing a probe on an irregular shaped rotating asteroid. The main assumption is that the spacecraft is orbiting close to the asteroid and has a continuous propulsion system enabling it to do a powered descent. The goal is to minimize fuel consumption while avoiding collision with the asteroid during the manoeuvre. This non-convex time-continuous optimal control problem is transformed to a convex static program by relaxing some constraints, discretizing and using an iterative method to handle with the asteroid gravity field non-linearities. Then, a guidance algorithm based on Model Predictive Control is applied with the purpose of coping with unmodelled dynamics and disturbances. Numerical results are showed and discussed.
  • 关键词:KeywordsSpacecraft autonomyTrajectory planningOptimal trajectoryConstrained control
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