Robust attitude predictive control design for reentry vehicle

Jianguo Guo, Zhenxin Feng, Jun Zhou, Guoqing Wang

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

3 Scopus citations

Abstract

Aiming at the robust attitude control issue on reentry vehicle subject to uncertainties and disturbances. A novel optimal predictive attitude control method integrating with a high order sliding mode observer is proposed in this paper. On the one hand, the proposed optimal one-step predictive control approach can guarantee good dynamic performance of the control system, on the other hand, a high order sliding mode observer is applied to estimating the uncertainties and disturbances exactly, which can strengthen the robustness of the control system. System stability is strictly proved by Lyapunov theory and the domains of convergence are given exactly with/without the observer. Finally, an attitude predictive control law is presented for a reentry vehicle with dynamic characteristic of the actuators. Numerical simulations demonstrate the effectiveness of the proposed control law.

Original languageEnglish
Title of host publication2016 14th International Workshop on Variable Structure Systems, VSS 2016
PublisherIEEE Computer Society
Pages263-268
Number of pages6
ISBN (Electronic)9781467397889
DOIs
StatePublished - 7 Jul 2016
Event14th International Workshop on Variable Structure Systems, VSS 2016 - Nanjing, China
Duration: 1 Jun 20164 Jun 2016

Publication series

NameProceedings of IEEE International Workshop on Variable Structure Systems
Volume2016-July
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824

Conference

Conference14th International Workshop on Variable Structure Systems, VSS 2016
Country/TerritoryChina
CityNanjing
Period1/06/164/06/16

Keywords

  • attitude control
  • disturbance observer
  • one-step prediction
  • Reentry vehicle

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