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面向任务的无人侦察机航线规划算法
引用本文:乔明,赵晓林,谢文俊,余超.面向任务的无人侦察机航线规划算法[J].空军工程大学学报,2015,16(2):38-42.
作者姓名:乔明  赵晓林  谢文俊  余超
作者单位:1. 空军工程大学航空航天工程学院,西安,710038;航空电子系统综合技术重点实验室,上海,200233
2. 空军工程大学航空航天工程学院,西安,710038
基金项目:陕西省自然科学基础研究计划资助项目,航空科学基金资助项目
摘    要:针对高空长航时无人侦察机航线规划问题,引入图像质量方程来预测待侦察目标的图像质量,设计了一种综合考虑目标成像质量、所受威胁因素以及侦察航线路径长度的无人机航迹性能评价函数作为粒子群的适应度函数,利用粒子群算法求出Pareto解集,通过加权确定Pareto解集中的最优解。仿真结果表明:考虑图像质量因素的无人机侦察航迹规划,能够很好地满足无人机成像侦察任务需求。

关 键 词:航迹规划  粒子群算法  通用图像质量方程

A Mission Oriented Path Planning Algorithm for Unmanned Reconnaissance Air Vehicles
QIAO Ming,ZHAO Xiao-lin,XIE Wen-jun,YU Chao.A Mission Oriented Path Planning Algorithm for Unmanned Reconnaissance Air Vehicles[J].Journal of Air Force Engineering University(Natural Science Edition),2015,16(2):38-42.
Authors:QIAO Ming  ZHAO Xiao-lin  XIE Wen-jun  YU Chao
Institution:QIAO Ming;ZHAO Xiao-lin;XIE Wen-jun;YU Chao;School of Aeronautics and Astronautics Engineering,Air Force Engineering University;Key Laboratory of Science and Technology on Avionics Integration Technologies;
Abstract:Aiming at the path planning of URAV, the GIQE (general imagery quality equation) was introduced to forecast image quality of targets. An evaluation function comprehensively considering the image quality of targets, the length of reconnaissance route and threatening factors was designed as a fitness function for particle swarm. The Pareto set can be gained through particle swarm algorithm, thus the optimal solution will be determined by weighting objectives. The simulation results showed that the UAV reconnaissance path planning considering the factor of image quality can better meet the demands of imaging reconnaissance missions.
Keywords:path planning  PSO  general image quality equation
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