Novel Adaptive Saturated Attitude Tracking Control of Rigid Spacecraft with Guaranteed Transient and Steady-State Performance

Zeyang Yin, Jianjun Luo, Caisheng Wei

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, a novel adaptive model-free attitude tracking control method is investigated for rigid spacecraft with consideration of the external disturbance, unknown inertia matrix, and input saturation. First, the considered attitude tracking system with input saturation is transformed into a Lagrangian model, and a dead zone-based model is used to describe the saturation nonlinearity. Second, using the prescribed performance control theory, a static prescribed performance attitude control scheme is presented, by which the transient and steady-state performance (including the convergence rate, overshoot, and boundedness) of the attitude tracking system is proved to be guaranteed. Third, in order to improve the performance of the static prescribed performance control scheme, a novel learning-based supplementary control scheme is presented based on the approximate dynamic programming. Finally, two groups of numerical simulations are used to illustrate the effectiveness of the proposed learning-based prescribed performance attitude control method.

Original languageEnglish
Article number04018062
JournalJournal of Aerospace Engineering
Volume31
Issue number5
DOIs
StatePublished - 1 Sep 2018

Keywords

  • Approximate dynamic programming
  • Input saturation
  • Neural networks
  • Prescribed performance
  • Spacecraft

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