Cooperative guidance with multiple constraints using convex optimization

被引:44
作者
Jiang, Huan [1 ,2 ]
An, Ze [1 ,2 ]
Yu, Ya'nan [3 ]
Chen, Shishi [4 ]
Xiong, FenFen [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China
[2] Minist Educ, Key Lab Dynam & Control Flight Vehicle, Beijing 100081, Peoples R China
[3] Shanghai Inst Space Control Engn, Shanghai 200233, Peoples R China
[4] Beijing Electromech Engn Inst, Beijing 100074, Peoples R China
基金
美国国家科学基金会;
关键词
Cooperative guidance; Time-to-go coordination; Multi-constraint; Successive convex optimization; Receding horizon control; IMPACT-TIME; LAW;
D O I
10.1016/j.ast.2018.06.001
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In the existing closed-loop cooperative guidance approaches for salvo attack of multiple missiles, the multiple constraints and time-variant velocity basically cannot be effectively considered. Therefore, two closed-loop cooperative guidance methods are developed in this paper, by employing the efficient convex optimization technique and receding horizon control (RHC) strategy. During each guidance cycle of RHC, the system coordination target is updated and then broadcasted to each missile as a constraint. Subsequently, the convex optimization technique is utilized to solve the multi-constraint optimal proportional guidance problem of each missile online to achieve the consensus on time-to-go among missiles. Simulation results show that for three cases with different conditions of velocity, the cooperative simultaneous attack under multiple constraints can be effectively carried out using each of the two proposed cooperative guidance laws, which verify their effectiveness and feasibility. (C) 2018 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:426 / 440
页数:15
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