时敏打击中航迹规划与重规划研究
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摘要
针对时敏打击作战的特点,对飞行器航迹规划与重规划进行了研究,提出了一种基于粒子群的航迹规划算法。该方法通过使用特定的粒子群编码方式和构造适当的适应度函数,可以在满足航迹约束的条件下,有效利用各种环境信息,进行实时航迹规划。仿真实验表明,该算法可以有效利用各种环境信息,在实时环境下处理各种航迹约束,并最终获得近似的最优航迹。
Based on the characteristics of time sensitive attack,the air vehicle route planning and re-planning are studied and a new particle swarm optimization(PSO) route planner is proposed.Specific particle swarm coding representation and suitable fitness function as well as effective route appraisement rule are used in this algorithm.It can process each kind of the mission restriction in real time,and finally an approximate flight path is obtained.
Based on the characteristics of time sensitive attack,the air vehicle route planning and re-planning are studied and a new particle swarm optimization(PSO) route planner is proposed.Specific particle swarm coding representation and suitable fitness function as well as effective route appraisement rule are used in this algorithm.It can process each kind of the mission restriction in real time,and finally an approximate flight path is obtained.
引文
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[12]于会,于鑫,李伟华.基于粒子群优化算法的航迹规划与重规划[J].计算机工程,2009,35(15):206-208.YU Hui,YU Xin,LI Wei-hua.Route Planning and Re-planning Based on PSO Algorithm[J].Computer Engi-neering,2009,35(15):206-208.
[2]郑昌文,丁明跃,周成平.一种飞行器在线航迹重规划算法[J].华中科技大学学报,2003,31(2):90-92.ZHENG Chang-wen,DING Ming-yue,ZHOU Cheng-ping.On-Line Route Replanning for Air Vehicles[J].Journal of Huazhong University of Science and Technolo-gy,2003,31(2):90-92.
[3]JUDD K B,MCLAIN T W.Spline Based on Path Plan-ning for Unmanned Air Vehicles[C]∥Proceedings ofGuidance,Navigationand Control Conference,Montreal,Canada:[s.n.],2001:1182-1190.
[4]白俊强,柳长安.基于蚁群算法的无人机航路规划[J].飞行力学,2005,23(2):35-38.BAI Jun-qiang,LIU Chang-an.Path Planning Based onthe Ant Algorithm for a Reconnaissance UAV[J].FlightDynamics,2005,23(2):35-38.
[5]李思海,白存儒.基于遗传算法的飞行器航迹规划研究[J].华东交通大学学报,2007,24(4):147-151.LI Si-hai,BAI Cun-ru.The Research of Route Planningfor Air Vehicle Based on Genetic Algorithm[J].Journalof East China Jiaotong University,2007,24(4):147-151.
[6]唐强,王建元,朱志强.基于粒子群优化的三维突防航迹规划仿真研究[J].系统仿真学报,2004,16(9):2033-2036.TANG Qiang,WANG Jian-yuan,ZHU Zhi-qiang.TheSimulation Study of PSO Based 3D Vehicle Route Plan-ning for Low Attitude Penetration[J].Acta SimulateSystematica Sinica,2004,16(9):2033-2036.
[7]肖秦琨,高晓光.一种无人机局部路径重规划算法研究[J].飞行力学,2006,24(1):85-88.XIAO Qin-kun,GAO Xiao-guang.Study on a Kind ofLocal Path Replanning Algorithm for UAVS[J].FlightDynamics,2006,24(1):85-88.
[8]李季,孙秀霞.基于多步寻优搜索的无人机航迹重规划算法[J].系统工程与电子技术,2009,31(10):2510-2512.LI Ji,SUN Xiu-xia.Route Replanning’s Method forUnmanned Aerial Vehicles Based on Multi-Step Optimi-zing Search Algorithm[J].Systems Engineering andEletronics,2009,31(10):2510-2512.
[9]EBERHART R C,SHI Yu-hui.Particle Swarm Optimi-zation:Development,Applications and Resources[C]∥Proceedings of the 2001 Congress on Evolutionary Com-putation,2001:81-86.
[10]NIKOLOS I K,VALAVANIS K P,TSOURVELOUDIS NC,et al.Evolutionary Algorithm Based Offline/OnlinePath Planner for UAV Navigation[J].IEEE Trans.onSMC,2003,33(6):898-912.
[11]于鑫.PSORP航迹规划算法设计与实现[J].科技信息,2009(25):41-43.YU Xin.Particle Swarm Optimization Route Planner Al-gorithm[J].Science and Technology Information,2009(25):41-43.
[12]于会,于鑫,李伟华.基于粒子群优化算法的航迹规划与重规划[J].计算机工程,2009,35(15):206-208.YU Hui,YU Xin,LI Wei-hua.Route Planning and Re-planning Based on PSO Algorithm[J].Computer Engi-neering,2009,35(15):206-208.