[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 面向任务的无人侦察机航线规划算法-A Mission Oriented Path Planning Algorithm for Unmanned Reconnaissance Air Vehicles
文章摘要
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:自然科学版,2015,(2):38-42
面向任务的无人侦察机航线规划算法
A Mission Oriented Path Planning Algorithm for Unmanned Reconnaissance Air Vehicles
  
DOI:
中文关键词: 航迹规划  粒子群算法  通用图像质量方程
英文关键词: path planning  PSO  general image quality equation
基金项目:陕西省自然科学基础研究计划资助项目(2014JQ8331,2012JQ8010);航空科学基金资助项目(20145596024)
作者单位
乔明,赵晓林,谢文俊,余超 1.空军工程大学航空航天工程学院西安7100382.航空电子系统综合技术重点实验室上海200233 
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中文摘要:
      针对高空长航时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人机侦察航迹规划,能够很好地满足人机成像侦察任务需求。
英文摘要:
      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.
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