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Finite-time adaptive fault-tolerant attitude control for rigid spacecraft

  • Harbin Institute of Technology

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

Abstract

This paper presents a novel finite-time adaptive fault-tolerant sliding mode spacecraft attitude control method, which could provide a rapid, accurate, and reliable attitude control for spacecraft rejecting external disturbances, uncertainties and actuator failures. Firstly, the dynamics and kinematics of the spacecraft in the presence of unknown disturbances and uncertainties are formulated. It is assumed that external disturbances and uncertainties are limited to unknown upper bounds (total uncertainties). The gain fault and the deviation fault are considered into the actuator failures. The error dynamics of the spacecraft attitude control is established including the total uncertainties. Secondly, a significant adaptive parameter, which is the estimation of the upper bound of total uncertainties, and a corresponding update law are designed. The adaptive update law, which contains a negative feedback term, could guarantee the convergence of the estimation. Then, based on the adaptive update law, a novel finite-time adaptive fault-tolerant attitude control method is derived under the framework of sliding mode control theory. Since the total uncertainties of spacecraft are compensated by the adaptive update law, the proposed control method can achieve higher control accuracy in the presence of actuator failures and disturbances. For the proposed control law, a certain term of control formulation is specially designed which can guarantee the finite-time stability. Finally, the Lyapunov function is established to prove the spacecraft can be stabilized in the finite time. Numerical simulations are performed to illustrate the effectiveness of the proposed control scheme.

Original languageEnglish
Title of host publication2018 IEEE Aerospace Conference, AERO 2018
PublisherIEEE Computer Society
Pages1-10
Number of pages10
ISBN (Electronic)9781538620144
DOIs
StatePublished - 25 Jun 2018
Event2018 IEEE Aerospace Conference, AERO 2018 - Big Sky, United States
Duration: 3 Mar 201810 Mar 2018

Publication series

NameIEEE Aerospace Conference Proceedings
Volume2018-March
ISSN (Print)1095-323X

Conference

Conference2018 IEEE Aerospace Conference, AERO 2018
Country/TerritoryUnited States
CityBig Sky
Period3/03/1810/03/18

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