动态环境下的多无人机协同任务规划仿真  

Cooperative Task Assignment Simulation of Multi-UAVs in Dynamic Environments

作　　者：乔体洲[1] 郭新平[1] 李亚威[1] 张文军[1] 尹中义[1] 

机构地区：[1]中国航天电子技术研究院无人机系统工程研究所,北京100094

出　　处：《系统仿真学报》2016年第9期2126-2132,共7页Journal of System Simulation

摘　　要：为解决无人机编队协同任务规划的仿真问题,提出了一个基于HLA/RTI的并行仿真架构进行协同任务规划仿真,通过真实的无人机气动力学仿真和飞控仿真,可以更真实有效地验证算法方案。通过建立无人机的损失概率模型,优化路径时将环境中的不确定性因素和威胁因素考虑在内。通过将每架无人机的失败概率模型与其它所有无人机的选定任务设定耦合联系可以提升协同真实性。为了尽可能实现理想的任务目标,使用随机仿真模型设计协作规划,最大程度提高无人机间的协作关系以提升生存概率。In order to address the problem of cooperative task assignment for multiple UAVs, a parallel simulation framework was proposed for cooperative task planning based on HLA/RTI simulation through UAV aerodynamic simulations and flight control simulation, which could be more real and effective algorithm validation. The paths were optimized to account for randomization and threats in the environment by modeling the probability of UAV loss. By coupling the failure probabilities of each UAV to the missions of the other UAVs, reality of cooperation was improved significantly. In order to achieve the desired objectives, the stochastic simulation models were used to design cooperation planning to enhance the cooperation between UAVs and improve survival probabilities.

关 键 词：无人机 协同 任务分配 路径规划 动态环境 随机环境 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]