计算机应用与软件2024，Vol.41Issue(1)：42-48,7.DOI:10.3969/j.issn.1000-386x.2024.01.007
基于随机模型预测控制的卫星编队保持方法
SATELLITE FORMATION MAINTENANCE BASED ON STOCHASTIC MODEL PREDICTIVE CONTROL
摘要
Abstract
Aimed at the problem of random disturbance in formation keeping of satellite formation,a formation configuration keeping control algorithm based on stochastic model predictive control(SMPC)is proposed.Under the condition of ensuring the accuracy,the nonlinear relative motion mechanics equations were linearized and discretized.Considering that model predictive control was not easy to deal with the chance constraint problem of unbounded random disturbance,a distributed robust chance constraint model was proposed to effectively solve the fuzzy information of random variables.The formation keeping control algorithm based on stochastic model predictive control was obtained by reconstructing the chance constraint into a manageable constraint by conditional value at risk(CVaR).The effectiveness and superiority of the algorithm were verified by comparing with the traditional model predictive control algorithm through mathematical simulation.关键词
随机模型预测控制/编队保持/随机扰动Key words
Stochastic model predictive control(SMPC)/Formation maintenance/Random disturbance分类
计算机与自动化引用本文复制引用
朱琳,龚薇..基于随机模型预测控制的卫星编队保持方法[J].计算机应用与软件,2024,41(1):42-48,7.基金项目
四川省科技厅资助项目(2019YJ0105). （2019YJ0105）
