威胁联网下无人作战飞机突防作战航迹规划

doi:10.7527/S1000-6893.2013.0494

电子与控制

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威胁联网下无人作战飞机突防作战航迹规划

符小卫, 李金亮, 高晓光

西北工业大学电子信息学院, 陕西西安 710129

收稿日期:2013-06-21 修回日期:2013-12-16 出版日期:2014-04-25 发布日期:2014-01-16
通讯作者: 符小卫，Tel.：029-88431260 E-mail：fxw@nwpu.edu.cn E-mail:fxw@nwpu.edu.cn
作者简介:符小卫男，博士，副教授。主要研究方向：无人机任务规划与指挥控制。Tel：029-88431260 E-mail：fxw@nwpu.edu.cn；李金亮男，硕士研究生。主要研究方向：无人机任务规划与复杂系统建模。 E-mail：lijinliang123@gmail.com；高晓光女，博士，教授，博士生导师。主要研究方向：航空火力控制与作战效能分析。 E-mail：cxg2012@nwpu.edu.cn
基金资助:
航空科学基金与航空电子系统综合技术重点实验室联合资助项目（20125553030）

Defense Penetration Path Planning for UCAV Based on Threat Netting

FU Xiaowei, LI Jinliang, GAO Xiaoguang

School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China

Received:2013-06-21 Revised:2013-12-16 Online:2014-04-25 Published:2014-01-16
Supported by:
Science and Technology on Avionics Integration Laboratory and Aviation Science Foundation (20125553030)

摘要/Abstract

摘要：

以复杂战场环境下无人作战飞机（UCAV）的自主突防作战为研究背景，以防空单元为威胁建立威胁联网模型，针对威胁联网的指挥控制组织结构和信息交互关系的特点，建立了一种威胁联网的信息交互数学模型，并且通过网络模拟器NS-2（Network Simulator Version 2）仿真验证了该数学模型的合理性与适用性，同时基于此提出了一种UCAV威胁代价评估模型；然后，结合UCAV动力学约束与制导武器攻击区约束，给出一种基于改进稀疏A^*算法的自主突防与攻击航迹规划算法。仿真结果表明，该算法能够快速获得UCAV突防作战航迹，且由于采用了动态的威胁评估方法，对突发威胁有较好的适用性。

关键词: 威胁联网, 无人作战飞机, A^*搜索, 交互信息, 信息分析, 低空突防, 三维航迹规划

Abstract:

This paper studies the path planning of unmanned combat air vehicles (UCAVs) based on threat netting, mainly from the aspects of communication, command and control structure. It analyzes the effects of air defense units' interconnection on the penetration target's kill probability. Firstly, the paper establishes a threat netting model with mutual information delay between the threat units and the reliability of the network, and proves the validity and feasibility of the mathematical model through Network Simulator Version 2 (NS-2). Next, based on this model, it creates a threat cost evaluation model for path planning. Then, combining the UCAV's dynamic constraints and attack area constraints, the paper proposes an autonomous path planning algorithm based on the improved A^* algorithm. In order to enhance the operating efficiency of the algorithm, it proposes an improved path node search strategy. The simulation result demonstrates that this strategy can quickly generate a low altitude penetration trajectory for a UCAV. As the dynamic threat assessment method is employed in the planning, the algorithm is able to adapt easily to unexpected combat threat environments.

Key words: threat netting, unmanned combat air vehicle, A^* search, mutual information, information analysis, low altitude penetration, 3D path planning

中图分类号:

V219
TP2

符小卫, 李金亮, 高晓光. 威胁联网下无人作战飞机突防作战航迹规划[J]. 航空学报, 2014, 35(4): 1042-1052.

FU Xiaowei, LI Jinliang, GAO Xiaoguang. Defense Penetration Path Planning for UCAV Based on Threat Netting[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(4): 1042-1052.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

威胁联网下无人作战飞机突防作战航迹规划

Defense Penetration Path Planning for UCAV Based on Threat Netting

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