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非理想通信下UUV集群编队合围控制和拓扑优化技术

批准号:
52101347
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
邢文
依托单位:
学科分类:
船舶工程
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
邢文

项目摘要

结项摘要

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中文摘要
面向探测、追踪与处置水下非合作目标需求,相比于单UUV平台,UUV集群在探测范围、识别可靠性、目标定位和跟踪精度、毁伤效能等方面具有明显优势。考虑水声通信延迟大、带宽低、误码率高、间歇性中断等问题,开展弱通信、不可靠通信、无通信等非理想通信网络环境下的UUV集群编队合围控制与拓扑优化技术研究。通过提出新思路和新方法,重点突破随机长时延下UUV集群编队合围控制与拓扑优化配置、弱稳健低置信水声通信下UUV集群编队合围控制与拓扑重构优化、无通信条件下UUV集群智能编队合围控制与拓扑预测延拓优化三个核心难点,探索非理想水声通信环境、信息交互拓扑和协同控制策略之间的相互影响关系,形成受限通信下UUV集群编队合围控制与拓扑优化方案,针对所提方法进行数值仿真分析,并结合无人集群平台开展试验验证,为真实海洋环境中UUV集群协同探测与处置敌方高价值目标提供理论和技术支撑。
英文摘要
With respect to detection, tracking and disposal of underwater non-cooperative targets, compared with a single UUV platform, multi-UUV systems have significant advantages in the aspects of detection range, identification reliability, target location and tracking accuracy, damage efficiency, and so on. Considering negative effects of large delays, low bandwidth, high bit error rates and intermittent interruption induced by underwater acoustic communication, we develop the study on formation-containment control and topology optimization of multi-UUV systems with weak communication, unreliable communication and no communication. By putting forward new ideas and novel methods, three thorny issues, namely the formation-containment control and optimal topology configuration under random long communication delays, the formation-containment control and optimal topology reconstruction under unstable and misleading communication and the intelligent formation-containment control and optimal topology prediction and extension with no communication, are handled. This work explores the interactions among non-ideal underwater acoustic communication environments, network topology structure and cooperative control strategy, and offers solutions to the above-mentioned issues. Numerical experiments and practical examples based on a multi-agent system platform are also presented to demonstrate the feasibility and effectiveness of the proposed design techniques, which will provide theoretical basis and technical support for collaborative detection and disposal of enemy high-value targets by multiple UUVs in real Marine environments.
本项目针对水下无人航行器(Unmanned Underwater Vehicle, UUV)集群在水下高价值目标探测、追踪和处置任务中的关键技术难题,聚焦非理想声学组网环境下的水声通信窄带宽、长时延等挑战,研究了多UUV编队合围跟踪控制和拓扑结构优化问题。. 在拓扑优化方面,为保证最佳探测覆盖率,提出了基于改进虚拟力和未覆盖区域虚拟力矩的多UUV探测阵型优化设计方法,解决了无通信极端情况下的感知拓扑优化问题。同时,针对水声通信长时延问题,提出了基于改进非支配排序自适应遗传算法的通信拓扑优化方法,应对了弱联通、不可靠通信条件下的群间通信拓扑优化难题。. 在编队合围跟踪控制方面,针对水声通信窄带宽约束,提出了基于状态估计器、群间协调误差和纯方位量测的编队合围跟踪控制方法,为弱联通、变联通、无联通等非理想声学组网条件下的协同行为实现提供了有效方法。此外,针对水声通信长时延问题,通过时延特征分析和预测机制,实现了对控制系统性能损失的主动补偿,显著提升了编队控制的鲁棒性。. 本项目的研究成果为复杂水下环境中多UUV协同任务提供了理论支撑和关键技术解决方案,为未来UUV集群在目标探测、追踪和处置任务中的应用能力提升奠定了基础。
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