Fuel-Optimal Predictive Control of Satellite Formation Keeping Based on Genetic Algorithm

被引：0
|
作者：
Xu, Nuo [1 ]
Lin, Jinxing [1 ]
Miao, Yuhang [1 ]
Wu, Edmond Qi [2 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Automat, Nanjing, Jiangsu, Peoples R China
[2] Shanghai Jiao Tong Univ, Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai, Peoples R China
来源：
2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2019年
基金：
中国国家自然科学基金;
关键词：
satellite formation; fuel-optimal; economic model predictive control; genetic algorithm; penalty function method; SPACECRAFT FORMATION; ECONOMIC MPC; OPTIMIZATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper addresses the keeping control problem of the leader-follower satellite formation by using an economic model predictive control method. The objective function in the designed economic model predictive control is comprised of two parts. One part is an adjustment term which is used to realize the trajectory tracking. The other part is an economic term l(e). which achieves fuel optimization. In addition, genetic algorithm is used to solve the control law which realizes the keeping control of satellite formation. Simulation results show that the proposed control method can achieve fuel optimization control for satellite formation.
引用
收藏
页码：527 / 532
页数：6
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