A novel global sliding mode control strategy for attitude control of reusable launch vehicles in the reentry phase

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

3 Citations (Scopus)

Abstract

The attitude control for reusable launch vehicles (RLV) is responsible for the robust operation to avoid the major deterioration from uncertainties of parameters and external disturbances in the reentry phase. Targeting for these practical issues with the study of the feedback-linearized RLV rotational equations of motion, two global sliding mode control (SMC) strategies are proposed with modified PID-type sliding surfaces. Firstly, this paper begins with a SMC method, which is applied with a modified fixed-gain PID-type sliding surface so that it achieves a global sliding mode and guarantees the global robustness of the controlled system. Furthermore, in order to rationally deal with the contradictory relationship between faster response and smaller overshoot, an improved SMC method is derived with modified variable-gain PID-type sliding surface. Finally, the effectiveness of the proposed strategies is verified by the theoretical analysis and simulation results are presented for the attitude control problem of X-33 RLV in the reentry phase.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages3615-3620
Number of pages6
ISBN (Electronic)9789881563934
DOIs
Publication statusPublished - 7 Sept 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Attitude control
  • Global robustness
  • PID-type sliding surface
  • Reusable launch vehicles
  • Sliding mode control

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