有向拓扑条件下针对机动目标的分布式协同制导律设计

董晓飞; 任章; 池庆玺; 李清东

doi:10.7527/S1000-6893.2019.23762

航空学报 >

2020 , Vol. 41 >Issue S1: 723762 - 723762

DOI: https://doi.org/10.7527/S1000-6893.2019.23762

有向拓扑条件下针对机动目标的分布式协同制导律设计

董晓飞 ,
任章 ,
池庆玺 ,
李清东

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1. 北京航空航天大学自动化科学与电气工程学院, 北京 100083;
2. 复杂系统控制与智能协同技术重点实验室, 北京 100074;
3. 北京航空航天大学飞行器控制一体化技术国防科技重点实验室, 北京 100083;
4. 北京航空航天大学大数据科学与脑机智能高精尖创新中心, 北京 100083

收稿日期: 2019-12-13

修回日期: 2019-12-27

网络出版日期: 2020-01-16

基金资助

国家自然科学基金（61922008，61973013，61873011，61803014）；航空科学基金（20170151001）；国防创新特区项目（18-163-00-TS-001-001-34）；北京市自然科学基金（4182035）

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Distributed cooperative guidance for maneuvering targets with directed conmunication topologies

DONG Xiaofei ,
REN Zhang ,
CHI Qingxi ,
LI Qingdong

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1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China;
3. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100083, China;
4. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100083, China

Received date: 2019-12-13

Revised date: 2019-12-27

Online published: 2020-01-16

Supported by

National Natural Science Foundation of China (61922008,61973013,61873011,61803014); Aeronautical Science Foundation of China(20170151001); Innovation Zone Project (18-163-00-TS-001-001-34);Beijing Natural Science Foundation (4182035)

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摘要

研究了在有向拓扑条件下针对机动目标的分布式协同制导律的设计问题。首先，根据飞行器与目标之间追击过程的几何关系建立制导过程系统模型，针对该模型的非线性问题采用动态反馈线性化方法进行处理。将目标未知机动视为干扰，通过扩张状态观测器进行观测，同时将该估计值用于制导律的设计中，通过直接补偿的方式剔除目标机动对飞行器剩余飞行时间的影响。然后，将所设计的制导律代入到制导模型中，利用一致性分析方法将多飞行器协同制导问题转化为一致性问题，利用极点分析的方法对非一致性子空间的收敛性进行分析，得到协同制导律收敛的充要条件。最后，通过仿真分析的方式对所设计的协同制导律以及制导律的参数选取方法进行分析。

关键词： 机动目标; 分布式协同制导; 扩张状态观测器; 一致性; 反馈线性化

本文引用格式

董晓飞 , 任章 , 池庆玺 , 李清东 . 有向拓扑条件下针对机动目标的分布式协同制导律设计[J]. 航空学报, 2020 , 41(S1) : 723762 -723762 . DOI: 10.7527/S1000-6893.2019.23762

Abstract

This paper studies the distributed cooperative guidance for maneuvering targets with directed communication topologies. First, a guidance system model is established based on the geometric relationship between the aircraft and the target, in which the nonlinear problem is solved by feedback linearization. In this design, the unknown maneuver of the target is observed by the extended state observer, and the estimation of the unknown maneuver of the target is applied to the design of the guidance law. In this process, the influence of the target maneuvering on the time-to-go is eliminated by means of direct compensation. Then, the designed guidance law is brought into the guidance model, transforming the problem of cooperative guidance into the problem of consensus. Next, the necessary and sufficient conditions for the convergence of the designed cooperative guidance law are obtained by conducting the pole analysis. Finally, the designed cooperative guidance law and the method of the parameter selection are analyzed by adopting the simulation analysis.

Key words： maneuvering target; distributed cooperative guidance; extended state observer; consensus; feedback linearization

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