The composite-disturbance-observer based stochastic model predictive control for spacecrafts under multi-source disturbances

Yang Xu, Yuan Yuan*, Dalin Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the attitude control problem of the spacecraft system under input/state constraints and multi-source disturbances is investigated. A novel estimation method, composite-disturbance-observer (CDO), is proposed to provide an estimate for both modeled and unmodeled disturbances in an online manner. Based on the estimates provided by the CDO, the composite stochastic model predictive control (C-SMPC) scheme is designed for attitude control. The recursive feasibility of the C-SMPC method is guaranteed by reformulating the state and input constraints. Furthermore, the sufficient conditions are established to guarantee the stability of the overall closed-loop system. Finally, the simulation on the attitude control of the spacecraft is conducted to verify the effectiveness of the proposed method.

Original languageEnglish
JournalJournal of The Franklin Institute
Early online date19 Aug 2021
DOIs
Publication statusEarly online - 19 Aug 2021

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