异构海洋无人集群敏捷协同技术创新及应用验证: 架构、方法与控制器

Technological Innovation and Application Validation of Agile Collaboration for Heterogeneous Marine Unmanned Clusters: Architecture, Methodology and Controller

  • 摘要: 【目的】异构海洋无人集群能够高效协作完成复杂大范围海洋任务,可作为海洋科学研究、资源开发、国防维权等应用的重要手段。目前异构海洋无人集群协同理论与技术体系仍处于探索阶段,相关研究正面临诸多亟待解决的难题,本文提出一种异构海洋无人集群敏捷协同技术,并对其应用进行了湖上试验验证。【方法】首先针对海洋无人集群协同应用场景,包括海洋观测、探测、作业等典型应用场景,分析了任务特征、网络与优化需求,并根据异构海洋无人平台运动、通信、能源与作业特性将其按功能分为若干节点群;设计了基于功能节点群的异构海洋无人集群敏捷协同架构,通过协同架构的融合配置进行载荷互补和任务协调。其次,根据应用需求与架构特征,考虑海洋环境任务多样性,将常见海洋无人集群应用任务分为时间优先任务、顺序执行任务、常规作业任务三类,提出了基于自组织图算法的异构海洋无人集群敏捷任务规划方法。自组织图算法的双层神经网络分别应用于任务目标分配与任务序列优化作,第一层网络将平台种类与个数等参数作为初始化神经元,通过能耗均衡与平台任务隶属度等计算获胜神经元并更新神经元位置,输出节点群的任务集合;第二层网络以任务集合为输入,结合能耗约束、通信约束、运动约束等逐步进行解空间构建、最优解邻域搜索、信息素更新,最终输出每类节点群的任务序列。再次,研制了一种多级软硬件解耦的海洋无人集群敏捷协同控制器。控制器基于国产化硬件平台与操作系统,以统一接口方式与平台各系统进行信息交互,同时定义了统一通信接口和服务层交互,可支持软件与硬件的多级并行优化迭代。【结果】在异构无人集群湖上动态目标探测与跟踪试验中,首先由水面浮标节点群对目标位置进行探测,发现目标并通过交叉测向推算目标方位后发送至待命航行器,收到目标初始信息后距离较近的航行器节点对目标进行探测与跟踪。试验过程中强动力节点群动态目标跟踪过程中平均距离误差约40米,平均跟踪偏差角约7-10°,较好地完成了对动态目标的协同探测与跟踪。【结论】构建了一种基于功能节点群的异构海洋无人集群创新性协同架构,给出了相应的敏捷协同任务规划方法,并通过典型场景应用演示验证试验验证了所提出的集群协同技术有效性与实用性。该方法可使具备较大性能差异的海洋无人系统快速加入并实施典型任务,并且具备优异的可扩展与适应性,可根据平台与载荷升级情况同步进行架构升级与优化,加快海洋无人集群应用化发展与实践。

     

    Abstract: Objectives Heterogeneous marine unmanned clusters can efficiently collaborate to complete complex and large-scale marine tasks, which can be used as an important means for marine scientific research, resource development, national defense and rights protection. At present, the theory and technology system of heterogeneous marine unmanned clusters are still in the exploration stage, and the related research is facing a lot of problems that need to be solved urgently. In this paper, we propose a heterogeneous marine unmanned clusters agile collaboration technology, and carry out the experimental validation on the lake for its application. Methods Firstly, for the typical application scenarios of marine unmanned cluster cooperative operation, the task characteristics, network and optimization needs are analyzed, and a heterogeneous marine unmanned cluster agile cooperative architecture based on functional node groups is designed; secondly, according to the application needs and architectural characteristics, a heterogeneous marine unmanned cluster agile task planning method based on the self-organizing graph algorithm (SOM) is proposed; thirdly, based on the principle of localized autonomy and controllability, the following controller is developed Third, based on the principle of localized autonomous control, a multi-level hardware and software decoupled agile cooperative controller for marine unmanned clusters is developed. Results In the dynamic target detection and tracking test on the lake of heterogeneous unmanned cluster, the cross-domain heterogeneous nodes are able to effectively interact with the target information based on the architectural requirements, and the average distance error during the dynamic target tracking process of the strongly-powered node group is about 40 meters, and the average tracking deviation angle is about 7-10°, which is a better completion of the collaborative detection and tracking of the dynamic target. Conclusions The effectiveness and practicality of the proposed agile collaboration technology for heterogeneous marine unmanned clusters are verified through typical scenario application demonstration and validation tests.

     

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