向人脑学习的UCAV认知导航航迹规划研究  

A New Progress on Intelligent Path Planning of UCAV Cognitive Navigation by Learning from Human Brain

作　　者：吴德伟[1] 杜佳[1,2] 戚君宜[1] 杨俊强[2] 

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077 [2]西安通信学院,陕西西安710106

出　　处：《空军工程大学学报（自然科学版）》2014年第5期46-51,共6页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61273048)

摘　　要：认知导航是支撑无人作战飞机自主飞行的重要导航方式,智能在线航迹规划是认知导航亟待解决的热点问题。为满足无人作战飞机的自主飞行能力需求,从"向人脑学习"的角度提出了无人作战飞机认知导航航迹规划新技术。首先分析了无人飞行器在线航路规划技术的研究现状,指出了其存在的主要问题,总结了技术发展趋势;其次针对当今在线航迹规划技术难以解决的环境/任务智能自适应问题,提出了"向人脑学习"的仿生航迹规划新方法,阐述了新方法的基本内涵与认知循环,明确了认知导航航迹规划的主要功能;最后对认知导航航迹规划的各项关键技术进行了剖析,指明了需要克服的难题。Cognitive Navigation is a new method of autonomous navigation for Unmanned Combat Aerial Vehicle, and intelligent real-time path planning is the most important function of Cognitive Navigation for UCAV autonomous flight.The new topic on UCAV intelligent path planning of cognitive navigation is dis- cussed by learning from human brain. Firstly, the research status of UAV real-time path planning is sur- veyed, and its development trends are summarized. Secondly, in order to obtain higher intelligence and wi- der adaptability under the complex battlefield with different tasks, the intelligent path planning of cogni- tive navigation is proposed for the first time, the basic connotation and the complete cognitive cycle are il- lustrated, and the main functions of the novel technology are illustrated. Finally, some key technologies presented clearly indicate the way to the further research.

关 键 词：无人作战飞机 认知导航 智能自适应 在线航迹规划 脑结构 

分 类 号：V24[航空宇航科学与技术—飞行器设计]