In this paper, a distributionally robust model predictive control (DRMPC) algorithm is presented for spacecraft circular orbital rendezvous and docking problem in the presence of disturbance and constraints. We only assume the mean and covariance matrixes of stochastic disturbance are known. Obstacle avoidance is studied in rendezvous phase, the constraints of line of sight, attitude control bandwidth and thrust direction are considered simultaneously in docking phase. The problem is converted into a tractable second order cone program (SOCP). Monte-carlo simulations are given to demonstrate the superiority of proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Distributionally Model Predictive Control for Spacecraft Rendezvous and Docking


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Li, Bin (author) / Li, Zuo Xun (author) / Zhang, Kai (author)


    Publication date :

    2021-10-30


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Distributionally Model Predictive Control for Spacecraft Rendezvous and Docking

    Li, Bin / Li, Zuo Xun / Zhang, Kai | British Library Conference Proceedings | 2022