Adaptive learning control for spacecraft formation flying

Hong Wong, Haizhou Pan, Marcio S. De Queiroz, Vikram Kapila

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers the problem of spacecraft formation flying in the presence of periodic disturbances. In particular, the nonlinear position dynamics of a follower spacecraft relative to a leader spacecraft are utilized to develop a learning controller which accounts for the periodic disturbances entering the system model. Using a Lyapunov-based approach, a full state feedback control law, a parameter update algorithm, and a disturbance estimate rule are designed which facilitate the tracking of given reference trajectories in the presence of unknown spacecraft masses. Illustrative simulations are included to demonstrate the efficacy of the proposed controller.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages1089-1094
Number of pages6
Volume2
StatePublished - 2001
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: Dec 4 2001Dec 7 2001

Other

Other40th IEEE Conference on Decision and Control (CDC)
CountryUnited States
CityOrlando, FL
Period12/4/0112/7/01

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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