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多飞行器协调航迹规划方法
引用本文:郑昌文,丁明跃,周成平,苏康,袁鸿翼,金惠香.多飞行器协调航迹规划方法[J].宇航学报,2003,24(2):115-120,125.
作者姓名:郑昌文  丁明跃  周成平  苏康  袁鸿翼  金惠香
作者单位:1. 华中科技大学图像识别与人工智能研究所,图像处理与智能控制国家教育部重点实验室,武汉,430074
2. 中国航天科工集团三院研发中心,北京,100074
摘    要:针对多飞行器的协调航迹规划展开研究,提出了一种基于协同进化的多飞行器协调航迹规划算法。在该算法中,不同飞行器的潜在航迹形成它们自己的子种群,并在于种群内部进化。不同飞行器间的协调关系由航迹的评价函数来实现。同时,通过使用特定的染色体表示方法和进化算子,该算法可以有效利用各种环境信息,处理各种航迹约束,并实时地生成三维航迹。

关 键 词:飞行器  协调航迹规划  协同进化  航迹约束  进化算子
文章编号:1000-1328(2003)02-0115-06

Coordinated route planning for multiple air vehicles
ZHENG Chang wen ,DING Ming yue ,ZHOU Cheng ping ,SU Kang ,YUAN Hong yi ,JIN Hui xiang.Coordinated route planning for multiple air vehicles[J].Journal of Astronautics,2003,24(2):115-120,125.
Authors:ZHENG Chang wen  DING Ming yue  ZHOU Cheng ping  SU Kang  YUAN Hong yi  JIN Hui xiang
Institution:ZHENG Chang wen 1,DING Ming yue 1,ZHOU Cheng ping 1,SU Kang 2,YUAN Hong yi 2,JIN Hui xiang 2
Abstract:The cooperative route planning problem of multiple air vehicles is studied with the proposal of a novel coevolutionary coordinative route planner.In the new planner,potential routes of each vehicle form their own sub population,and evolve only in their own sub population,while the interaction among all sub problems is reflected by the definition of fitness function.By using a problem specific representation of candidate solutions and genetic operators,our algorithm can take into account different kinds of environmental information,handle various mission constraints,and generate desired 3D route in real time.
Keywords:Route  planning  Multiple air vehicles  Coordination  Coevolutionary algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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