摘要
针对多无人机协同侦察任务规划问题,考虑由环境因素或机动操作引起的无人机飞行油耗等参数的不确定性和随机性,以侦察目标信息价值最大化为目标、以团队定向问题模型为基础,建立了多无人机协同侦察随机规划模型。针对飞行油耗的分布律难以精确预测的特点,考虑用其名义值及预测偏离来描述飞行油耗的不确定区间,利用鲁棒线性优化方法构建原模型的鲁棒对等形式,建立了多无人机协同侦察鲁棒线性优化模型。数值分析结果表明:基于鲁棒优化的多无人机协同侦察任务规划模型能够有效应对参数不确定性的影响,实现了任务规划系统的鲁棒性和最优性之间的有效平衡。
The problem of multi-UAV cooperative reconnaissance mission planning was studied.By considering the uncertainty and stochastic of parameters such as flight fuel consumption caused by environmental factors or maneuvering operations,and taking the maximum value of reconnaissance target information as the objective,the stochastic programming model of multi-UAV cooperative reconnaissance was established based on the team orientation problem model.Considering the difficulty in accurate prediction of distribution law of flight fuel consumption,the uncertain interval of flight fuel consumption was described by its nominal value and forecast deviation.Then,the robust counterpart of the original model was constructed by using the robust linear optimization method,and the robust linear optimization model of multi-UAV cooperative reconnaissance was established.The numerical results show that multi-UAV cooperative reconnaissance mission planning model based on robust linear optimization can effectively deal with the influence of parameter uncertainty,and achieve an effective balance between the robustness and optimality of mission planning system.
作者
赵玉亮
宋业新
赵金超
任涛
ZHAO Yu-liang;SONG Ye-xin;ZHAO Jin-chao;REN Tao(Dept.of Basic Courses,Naval Univ.of Engineering,Wuhan 430033,China;Dept.of Operational Research and Programming,Naval Univ.of Engineering,Wuhan 430033,China)
出处
《海军工程大学学报》
CAS
北大核心
2021年第1期48-54,共7页
Journal of Naval University of Engineering
基金
国家自然科学基金资助项目(71171198,41631072,41771487)。
关键词
多无人机
协同侦察
不确定性
鲁棒优化
multi-UAV
cooperative reconnaissance
uncertainty
robust optimization
作者简介
赵玉亮(1991-),男,博士生,主要研究方向为无人机任务规划、不确定优化;通信作者:赵玉亮,yl.zhao0811@gmail.com。
