赵克新1,
韩邦杰2,
魏政磊1
1.空军工程大学航空航天工程学院 ??西安 ??710038
2.空军驻石家庄地区军事代表室 ??石家庄 ??050002
基金项目:国家自然科学基金(61601505)，航空科学基金(20155196022)
详细信息
作者简介:黄长强：男，1961年生，教授，博士生导师，研究方向为无人机总体设计与技术
赵克新：男，1992年生，硕士生，研究方向为无人机武器系统设计
韩邦杰：男，1982年生，军代表，研究方向为机载武器系统设计
魏政磊：男，1991年生，博士生，研究方向为无人机武器系统设计
通讯作者:黄长强 13227894098@163.com
中图分类号:V271.4计量
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被引次数:0
出版历程
收稿日期:2018-01-17
修回日期:2018-06-20
网络出版日期:2018-07-30
刊出日期:2018-10-01
Maneuvering Decision-making Method of UAV Based on Approximate Dynamic Programming
Changqiang HUANG1,,,Kexin ZHAO1,
Bangjie HAN2,
Zhenglei WEI1
1. College of Aeronautics of Engineering, Air Force University, Xi’an 710038, China
2. Military Delegate Section of China People’s Liberation Army Air Force Stationed, Shijiazhuang 050002, China
Funds:The National Natural Science Foundation of China (61601505), The Aviation Science Foundation Project (20155196022)
摘要
摘要:针对空战机动决策时出现的“维数爆炸”问题，该文提出一种基于近似动态规划的群智能空战机动决策方法。首先建立无人机空气动力学模型和空战态势优势指标函数。其次，利用近似动态规划的思想，将空战过程按时间域划分为多个规划时域，在每个规划时域内，提出人工势场引导下的改进蚁狮优化算法快速逼近最优控制量，有效裁减搜索空间。通过与专家系统法进行仿真对比，表明所提方法解决高动态、实时性强的无人机机动决策问题的有效性和可行性。
关键词:近似动态规划/
无人机/
机动决策/
群智能
Abstract:To solve the problem of dimension disaster when solving air combat maneuvering decision-making by dynamic programming, a swarm intelligence maneuvering decision-making method based on the approximate dynamic programming is proposed. Firstly, the Unmanned Aerial Vehicle (UAV) dynamic model and advantage functions of situation are established. On this basis, air combat process is divided into several stages according to dynamic programming thought. In order to reduce the search space, an Artificial Potential Field (APF) Guiding Ant Lion Optimizer (ALO) approximate optimal control amount is adopted in each programming stage. Finally, by comparing expert system, the experiment result indicates that the high dynamic and real-time air combat maneuvering decision can be solved by the proposed method effectively.
Key words:Approximate dynamic programming/
Unmanned Aerial Vehicle (UAV)/
Maneuvering decision-making/
Swarm intelligence
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https://jeit.ac.cn/article/exportPdf?id=540d5ae7-1477-42c7-a0fe-4cbef2c78e41
