人机协同智能航迹规划算法  

Man-machine Coordinated Intelligent Flight Path Planning Algorithm

作　　者：任鹏[1] 高晓光[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《系统仿真学报》2015年第2期313-319,共7页Journal of System Simulation

基　　金：国家自然科学基金青年项目(61305133);高等学校博士学科点专项科研基金(20116102110026)

摘　　要：人机协同低空突防航迹规划是实现有人机和UAV协同作战的关键技术,结合协同作战的特点和UAV低空突防航迹规划的要求,将人工辅助决策和改进的智能算法结合起来,并利用角度量的变长度基因编码表示飞行航迹,提出人机协同的智能航迹规划算法。该算法能够充分发挥人脑这个超级智能系统,利用人的智慧和经验弥补智能算法的不足,在"高危环境下"下针对突发威胁的覆盖范围来引导航迹求解过程,通过大量仿真计算,结果表明:应用该算法规划的三维航迹能够有效躲避突发威胁,实现威胁回避、地形回避和地形跟随,满足UAV低空突防要求,具有一定的实用价值。Man-machine coordinated flight path planning of UAV low-altitude penetration is a key technology achieving manned and unmanned aerial vehicles cooperative combat. The algorithm of man-machine coordinated intelligent flight path planning was proposed, combining artificial auxiliary decision with novel intelligence algorithm, a chromosome integer code with changeable length based on angle was used to represent flight path. Human's wisdom and experience could make up for the lack of intelligence algorithm. In the most dangerous environment, it made the best possible use of the human brain to guide solution procedures of the flight path planning on pop-up threats. A lot of simulation studies show that the on-line three-dimensional flight paths by this technical can meet the requirements of UAV low-altitude penetration, efficient implementation of threat avoidance, terrain avoidance and terrain following. This method has a certain practicality.

关 键 词：突发威胁 人机协同 低空突防 航迹规划 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]