多UCAV协同中基于协商的分布式任务分配研究

针对多无人作战飞机（UCAV）分布式协同任务分配问题展开研究。在对多UCAV任务分配问题进行分析的基础上，提出了基于市场协调机制的多UCAV分布式协同任务分配体系结构，设计了能够支持不同自主能力UCAV的任务控制模型，各UCAV在分布式计算的基础上进行相互协商实现动态任务分配。通过综合采用买卖合同、交换合同和聚类合同三种协调机制，实现了多UCAV协同作战中的分布式任务分配。仿真实验结果表明，基于协商的分布式任务分配方法能够快速有效地实现对态势变化的反应，对于解决作战过程中的动态任务分配具有突出优势。     

基于混合细菌觅食算法的多无人机任务分配研究

多无人机协同任务分配问题是多无人机协同控制的关键.本文首先深入分析多无人机任务分配问题的特点,建立了扩展的混合整数线性规划(MILP)任务分配模型.其次,通过分析细菌觅食优化算法和粒子群优化算法的优缺点,提出一种具有较强全局搜索能力且收敛速度快的混合细菌觅食优化算法.最后将该算法应用于多无人机协同任务分配中并进行了仿真...     

一种无人机局部路径重规划算法研究

提出了一种突发威胁体下无人机局部路径重规划的算法。首先根据不同威胁体的分布情况构造无人机的可飞航路集,用“改进型V orono i图”表示出来,采用D ijkstra算法求解初始粗略最短路径。在无人机飞行过程中,通过基于混合动态贝叶斯网络的切换线性动态系统模型感知环境,应用V iterb i解码算法确定突发威胁体的实时位置及威胁等级,再依据局部路径重规划原则进行寻优,最后应用三次平滑及序列二次规划方法获得实际可飞路径,并用M atlab仿真验证了算法的有效性。     

Analysis and modeling of information flow and distributed expertise in space-related operations

Evolving space operations requirements and mission planning for long-duration expeditions require detailed examinations and evaluations of information flow dynamics, knowledge-sharing processes, and information technology use in distributed expert networks. This paper describes the work conducted with flight controllers in the Mission Control Center (MCC) of NASA's Johnson Space Center. This MCC work describes the behavior of experts in a distributed supervisory coordination framework, which extends supervisory control/command and control models of human task performance. Findings from this work are helping to develop analysis techniques, information architectures, and system simulation capabilities for knowledge sharing in an expert community. These findings are being applied to improve knowledge-sharing processes applied to a research program in advanced life support for long-duration space flight. Additional simulation work is being developed to create interoperating modules of information flow and novice/expert behavior patterns.     

Multi-UAV reconnaissance task allocation for heterogeneous targets using an opposition-based genetic algorithm with double-chromosome encoding

This paper presents a novel multiple Unmanned Aerial Vehicles (UAVs) reconnaissance task allocation model for heterogeneous targets and an effective genetic algorithm to optimize UAVs’ task sequence. Heterogeneous targets are classified into point targets, line targets and area targets according to features of target geometry and sensor’s field of view. Each UAV is regarded as a Dubins vehicle to consider the kinematic constraints. And the objective of task allocation is to minimize the task execution time and UAVs’ total consumptions. Then, multi-UAV reconnaissance task allocation is formulated as an extended Multiple Dubins Travelling Salesmen Problem (MDTSP), where visit paths to the heterogeneous targets must meet specific constraints due to the targets’ feature. As a complex combinatorial optimization problem, the dimensions of MDTSP are further increased due to the heterogeneity of targets. To efficiently solve this computationally expensive problem, the Opposition-based Genetic Algorithm using Double-chromosomes Encoding and Multiple Mutation Operators (OGA-DEMMO) is developed to improve the population variety for enhancing the global exploration capability. The simulation results demonstrate that OGA-DEMMO outperforms the ordinary genetic algorithm, ant colony optimization and random search in terms of optimality of the allocation results, especially for large scale reconnaissance task allocation problems.     

基于改进遗传算法的移动目标成像侦测任务规划问题研究

基于先验信息调用成像侦察卫星监控陆地或海洋移动目标动态信息是卫星成像侦察面临的新 课题。在已知移动目标位置等先验信息基础上,动态构造目标可变潜在区域及其运动预测模 型,利用STK辅助构造其候选成像观测活动集合;在此集合及目标运动预测模型基础上 对动态可变区域成像卫星调度问题进行建模,并设计了一种基于模拟退火算法及遗传算法的 改进遗传算法对问题进行求解,得到近最优的移动目标成像侦测方案。最后通过实例及算法 对比验证了规划模型及算法对解决该类问题的合理性和有效性。
     

一种多目标变邻域模拟退火算法及成像星座任务规划方法

为提高成像星座观测任务的完成度和成像质量，提出一种多目标变邻域模拟退火算法(MOVNSA)。首先，分析了敏捷成像卫星观测任务约束和星上资源约束，构造了评价任务完成度和成像质量的目标函数，建立成像任务约束满足模型。然后通过设计多目标模拟退火算法中解的编码解码规则、变邻域搜索方法以及选拔淘汰机制，实现了观测任务成像时刻的滑动优化，兼顾提升了观测任务的完成度和成像质量。最后通过工程实例对多种算法进行测试和分析，结果表明该方法收敛速度快，优化效果好，可以在满足用户需求的前提下最大化任务的完成度。     

无人机协同测控中SC-FDMA技术设计

针对无人机协同任务测控传输的多机接入问题,提出基于分布式任务分配模型的高动态SC-FDMA技术.通过将贪婪原则、信道动态分配机制和多用户接入技术结合,利用集中映射方式设计子信道数目可调的映射规则,配置各无人机节点所占用子载波数目.仿真结果表明,与传统FDMA、CDMA、TDMA、OFDMA等相比,基于SC-FDMA设计...     

DFCluster: An efficient algorithm to mine maximal differential biclusters for single pilot operations task synthesis safety analysis

With the continuous advancement of the avionics system, crew members are correspondingly reduced, and Single Pilot Operations(SPO) has attracted widespread attention from scholars.To meet the flight requirements in SPO mode, it is necessary to further strengthen air-ground coordination system integration, but at the same time, there will be some safety issues caused by resource integration, function fusion, and task synthesis. Aimed at the safety problems caused by task synthesis, an efficient d...     

一种超视距组网无人机载通信系统设计

针对超视距集群作业需求，提出将Ka频段高通量卫星技术与TD-LTE协议区域组网技术相结合，构建一种“1+N”架构的无人机载测控通信系统。通过方案介绍，阐述了卫星、组网、载荷等模块的设计思路、方案选型及实物设计结果，明确核心单元特点。详细论述了异构网络通信、平滑低延时传输、信源加密等关键技术，并完成链路余量计算、带宽时延测试及飞行试验。试验结果表明：系统任意终端间双向通信稳定可靠，方案设计合理可行。相比于卫星、组网单模通信方式，系统在长航距集群测控、任务协同、临场机动及应用资费等方面具有明显优势，为后续构建空天一体化多平台支撑通信系统，提供工程实践参考。