arXiv:2606.04518cs.RO2026-06

多艘无人船无需外部定位,靠互相感知完成环绕目标的协同航行

Cooperative Circumnavigation for Multiple Unmanned Surface Vehicles Without External Localization

论文配图:Cooperative Circumnavigation for Multiple Unmanned Surface Vehicles Without External Localization
图 1 · 摘自论文原文
  • 通过主动感知与通信获取相对距离和位移,被动传感器测目标方位
  • 用两种卡尔曼滤波器分别估计船间及船与目标的相对位置
  • 设计耦合振子控制器,确保系统可观测性,适合无定位环境下的编队任务

本文提出一种多艘无人水面艇(USVs)在无外部定位条件下实现目标协同环绕的框架。目标是在不依赖外部定位的前提下,保持指定半径的均匀圆形编队环绕目标。该框架采用异构感知策略,区分与目标的非对称感知关系以及各艇间的感知差异:各艇通过主动感知和艇间通信获取相对距离与位移,同时利用被动传感器获取对非合作目标的方位信息。为估计相对位置(包括艇间及艇与目标之间),分别采用最大核相关性卡尔曼滤波器和伪线性卡尔曼滤波器。设计基于耦合振子的编队控制器,确保系统可观测性并实现环绕。理论分析表明,控制器使艇间及艇与目标的相对运动满足持续激励条件,从而保障卡尔曼滤波器的可观测性。数值仿真验证了该方法的有效性。

原文摘要 · Abstract (English)

This paper proposes a cooperative target circumnavigation framework for multiple unmanned surface vehicles (USVs) operating without external localization. The objective is to maintain a uniform circular formation of a specified radius around a target using only limited onboard sensing. The framework adopts a heterogeneous perception strategy that distinguishes between the asymmetric sensing relationships with the target and among the USVs. Specifically, the USVs obtain relative range and displacement measurements through active perception and inter-vehicle communication, while bearing measurements to a non-cooperative target are acquired via passive sensors. To estimate relative positions--both among USVs and between each USV and the target--we employ a Maximum Correntropy Kalman Filter and a Pseudo-Linear Kalman Filter, respectively. A coupled oscillator-based formation controller is designed to ensure system observability while achieving circumnavigation. Theoretical analysis demonstrates that the controller ensures the relative motions between the USVs, as well as that between each USV and the target, satisfy the persistent excitation condition, thereby guaranteeing observability of the Kalman-based filters. The effectiveness of the proposed approach is validated through numerical simulations.

无人艇协同控制无定位导航编队环绕

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