电光与控制, 2014, 21 (8): 91, 网络出版: 2014-09-01  

基于RHC-PSO的双机协同探测跟踪行为决策

RHC-PSO Based Behavior Decision-Making for Coordinated Detecting and Tracking
作者单位
1 空军工程大学航空航天工程学院, 西安 710038
2 中国人民解放军95899部队, 北京 100076
摘要
针对现代空战双机编队协同探测的复杂性, 以双机协同探测一架敌机为背景, 基于滚动时域控制思想对搜索跟踪阶段战斗机机动决策及雷达行为决策进行研究。首先建立雷达的探测模型, 重点研究双机协同探测态势及全向雷达反射面积(RCS)动态特性; 其次建立了战斗机协同搜索跟踪行为决策模型, 重点分析了协同探测控制函数的建立, 以及基于粒子群算法的探测行为决策模型; 最后进行了仿真验证。仿真结果表明, 该方法可以有效提高我方战斗机协同探测能力。
Abstract
Considering the scenario of air combat in which our two fighters detect and track one fighter coordinately we studied the decision-making of fighter maneuvering and radar activity during the detecting and tracking process based on Receding Horizon Control(RHC).A model of radar detection was established at first.The dynamic characteristics of Radar Cross Section(RCS)and the situation of dual-fighter detecting were studied.The model of dual-aircraft coordinated detecting and tracking was also built up.The function of coordinated detecting and tracking and the decision-making model of particle swarm optimization(PSO) were discussed.Simulation results show that the method can improve the capability of coordinated detecting and tracking effectively.
参考文献

[1] JAMES S JONATHAN P BRIAN W et al.Air-combat strategy using approximate dynamic programming[J].Journal of Guidance Control and Dynamics 2010 33(5):1641-1654.

[2] BENJAMIN R C.Time-optimization of high performance combat maneuvers[D].Monterey:Naval Postgraduate School 2005.

[3] 张立鹏, 魏瑞轩, 李霞.无人作战飞机空战自主战术决策方法研究[J].电光与控制, 2012, 19(2):92-96.

    ZHANG L P WEI R X LI X.Autonomous tactical decision-making of UCAVs in air combat[J].Electronics Optics & Control 2012 19(2):92-96.

[4] NUSYIRWAN I F BIL C.Factorial analysis of a real time optimization for pursuit-evasion problem[C]//Proceedings of 46th AIAA Aerospace Sciences Meeting and Exhi-bit 2008:195-198.

[5] KAI V JANNE K TUOMAS R.Modeling air combat by a moving horizon influence diagram game[J].Journal of Guidance Control and Dynamics 2006 29(5):1080-1091.

[6] 张涛, 于雷, 周中良, 等.基于变权重伪并行遗传算法的空战机动决策[J].飞行力学, 2012, 30(5):470-474.

    ZHANG T YU L ZHOU Z L et al.Decision-making for air combat maneuvering based on variable weight pseudo-parallel genetic algorithm[J].Flight Dynamics 2012 30(5):470-474.

[7] DUAN H B ZHANG Y P LIU S Q.Multiple UAVs/UGVs heterogeneous coordinated technique based on Receding Horizon Control (RHC) and velocity vector control[J].Science China 2011 54(4):869-876.

[8] LI Y BAI B D ZHANG Y N.Improved particle swarm optimization algorithm for fuzzy multi-class SVM[J].Journal of Systems Engineering and Electronics 2010 21(3):509-513.

[9] VAN DEN BERGH F.An analysis of particle swarm optimizers[D].Pretoria:University of Pretoria, 2001.

[10] DING W P WANG J D GUAN Z J.Cooperative extended rough attribute reduction algorithm based on improved PSO[J].Journal of Systems Engineering and Electro-nics 2011 23(1):160-166.

[11] STIMSON G W.Introduction to airborne radar[M].2nd ed.Raleigh NC USA:SciTech Publishing Inc. 1998.

[12] GRIFFITHS H D BAKER C J.Passive coherent location radar systems part 1:Performance prediction[J].IEE Proc.Radar Sonar Navig 2005 150(3):153-159.

[13] 路志伟, 李明, 季晓光.基于传感器协同技术的雷达搜索空域研究[J].航空计算技术, 2006, 36(5): 5-8.

    LU Z W LI M JI X G.Research on radar searching vo-lume based on multi-sensor cooperation technology[J].Aeronautical Computing Technique 2006 36(5):5-8.

黄泽楠, 张涛, 周中良, 黄俊, 李飞. 基于RHC-PSO的双机协同探测跟踪行为决策[J]. 电光与控制, 2014, 21(8): 91. HUANG Ze-nan, ZHANG Tao, ZHOU Zhong-liang, HUANG Jun, LI Fei. RHC-PSO Based Behavior Decision-Making for Coordinated Detecting and Tracking[J]. Electronics Optics & Control, 2014, 21(8): 91.

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