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高超声速飞行器水平航迹规划算法研究
引用本文:王榕,李新国. 高超声速飞行器水平航迹规划算法研究[J]. 计算机仿真, 2008, 25(11)
作者姓名:王榕  李新国
作者单位:西北工业大学航天学院,西安,710072
基金项目:国家高技术研究发展计划(863计划)  
摘    要:
伴随高超声速飞行器的出现,防空系统也变得越来越复杂,为了提高高超声速飞行器在空战中的生存概率,有必要对多约束远程轨迹优化技术进行深入研究.给出了航迹生存概率函数及局部重新规划区域的确定方法,且对变种群遗传算法、稀疏A*变步长搜索算法和动态规划方法进行了研究.并应用这三种改进后的算法对高超声速飞行器的航迹进行了规划,仿真结果表明,变种群遗传算法比较慢,只适合于离线规划,后两种算法应用在离线和在线实时规划时,都能快速的得到令人满意的航迹.

关 键 词:动态规划算法  变种群遗传算法  航迹优化

Research on Horizontal Path Planning for Hypersonic Vehicle
WANG Rong,LI Xin-guo. Research on Horizontal Path Planning for Hypersonic Vehicle[J]. Computer Simulation, 2008, 25(11)
Authors:WANG Rong  LI Xin-guo
Affiliation:WANG Rong,LI Xin-guo(Department of Astronautics,Northwestern Polytechnical University,Xian Shanxi 710072,China)
Abstract:
Air defense systems have become increasingly complex with the appearence of hypersonic vehicle.To improve the survival probability of hypersonic vehicle in air combat,it is necessary to perform research and development for Trajectory optimization with long endurance and numerous constraints.In this paper,function of survival possibility is established and the method for deciding local re-planning region is proposed.At the same time,Spares A*algorithm with changeable length,dynamic algorithm,and genetic algo...
Keywords:Dynamic programming algorithm  Genetic algorithm  Trajectory optimization  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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