摘要
为了解决海洋渔业船舶在海上通信链路不稳定的问题,针对救援船只的通信特点,引入图论知识,将救援船及遇难渔船视为图中节点、船只间的通信链路连接关系视为图的边,采用联合连通通信拓扑图构建通信链路,发现该途径可以降低海上救援任务中对船只间通信链路的要求。在此基础上,提出救援船的分布式协同控制方法,即利用图的拉普拉斯矩阵将船只间的位置误差构建为整体误差系统,通过Lyapunov稳定性分析准确定位,保证救援船成功到达遇难渔船位置。最后,对不同初始位置和不同联合连通通信拓扑场景下渔船救援通信进行仿真模拟,证实所提出的分布式协同控制算法具有较强的适用性。研究结果为提高海上渔船救援准确性和成功率提供了新的思路。
Maritime search and rescue operations constitute a critical dimension of ensuring the safety and security of vessels navigating the intricate expanses of open waters.Addressing the nuanced complexities associated with distressed fishing vessels at sea,this study delves into the optimization of collaborative control strategies predicated upon dynamic communication networks.In consonance with the discerning standards of scientific discourse,we undertake a comprehensive analysis,employing rigorous methodologies derived from graph theory and stability analysis.Maritime rescue missions are inherently challenged by the capricious nature of communication links between vessels,a facet acutely manifested in the context of distressed fishing vessels.Drawing from the tenets of graph theory,we posit a nuanced representation of rescue vessels and their counterparts in distress as integral nodes within a graph,with communication linkages serving as decisive edges.The meritorious introduction of joint-connected communication topology diagrams attests to our commitment to circumvent the pitfalls of unstable maritime communication links.This innovation concurrently mitigates the associated demands placed upon inter-vessel communication links during the exigency of maritime rescue operations.Central to our contribution is the proposal of a distributed collaborative control paradigm tailored explicitly for rescue ships.The strategic utilization of Laplacian matrix,a construct derived from the graph theoretical framework,affords the synthesis of an all-encompassing error system.This construct aptly manages position inaccuracies between ships,discernibly enhancing the efficacy of maritime rescue operations.The application of Lyapunov stability analysis emerges as an intellectual fulcrum,ensuring the judicious navigation of rescue ships to the precise coordinates of distressed fishing vessels.In accordance with the stringent standards of scientific inquiry,the ensuing exposition delineates the intricate facets of our proposed methodology.The distributed collaborative control mechanism posited herein epitomizes the convergence of theoretical underpinnings and pragmatic exigencies in the maritime domain.The meticulous integration of graph theory and stability analysis engenders a methodological edifice that transcends the immediate challenges posed by unstable communication links.This research stands as a testament to the efficacy of cross-disciplinary methodologies in addressing real-world imperatives.Leveraging the power of graph theory,our methodology introduces a paradigm shift in conceptualizing the intricate web of interactions within maritime rescue scenarios.The Laplacian matrix,acts as a linchpin,orchestrating the orchestration of collaborative control strategies.The underpinning of our approach in stability analysis imparts a profound resilience to the overall system,validated through Lyapunov stability analysis.This ensures not only the precision of rescue ship navigation but also establishes the reliability of proposed collaborative control paradigm within broader scientific discourse.In summation,this scholarly pursuit amalgamates theoretical acumen with real-world imperatives,thereby carving a niche in the pantheon of maritime search and rescue methodologies.The innovative amalgamation of graph theory,joint-connected communication topology diagrams,and Lyapunov stability analysis underscores the evolutionary trajectory of our approach.With meticulous attention to scientific rigor,this study not only mitigates the challenges of unstable maritime communication links but also pioneers a transformative pathway for the optimization of collaborative control strategies in maritime search and rescue scenarios.
作者
徐硕
王宇
XU Shuo;WANG Yu(Institute of Fisheries Engineering,Chinese Academy of Fishery Sciences,Beijing 100141,China)
出处
《海洋渔业》
CSCD
北大核心
2023年第6期759-765,共7页
Marine Fisheries
基金
崂山实验室科技创新项目(LSKJ202201800)
中国水产科学研究院中央级公益性科研院所基本科研业务费专项资金(2021HY-ZC006)。
关键词
渔业船舶
动态通信链路
协同控制
渔船救援
fishing vessel
dynamic communication link
collaborative control
search and rescue optimization
