Model Predictive Control for Satellite Formation Keeping Based n Genetic Algorithm

被引：0
|
作者：
Xu, Nuo [1 ]
Lin, Jinxing [1 ]
Miao, Yuhang [1 ]
Gao, Zhifeng [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing 210023, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
satellite formation; predictive control; genetic algorithm; parameter optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a genetic-algorithm-based predictive control strategy to solve the control problem of satellite formation keeping. First, the relative dynamic model of satellites considering J(2) perturbation in elliptic reference orbit is introduced. Then, a predictive controller is proposed to realize the control of the satellite formation. Moreover, in order to improve the control performance, the predictive control parameters P, M, q and r are optimized by genetic algorithm online. Simulation results show that the performance of predictive controller based on genetic algorithm is better than that of the traditional predictive controller.
引用
收藏
页码：1918 / 1923
页数：6
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