一种无人艇集群编队控制方法及装置

By employing undirected communication topology and aperiodic discrete sampling communication mechanism, combined with kinematic and dynamic models, a leaderless formation reference point and reference frame are constructed, solving the network congestion and dependency problems in unmanned surface vessel swarm formation control and achieving stable formation control in complex marine environments.

CN122172860BActive Publication Date: 2026-07-17HARBIN ENG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN ENG UNIV
Filing Date
2026-05-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the control of unmanned surface vessel (USV) swarms, there are problems such as network congestion due to limited communication bandwidth and strong dependence on the leader USV, resulting in insufficient control stability.

Method used

By employing an undirected communication topology and an aperiodic discrete sampling communication mechanism, combined with kinematic and dynamic models, a leaderless formation reference point and reference frame are constructed. Through state expansion and error system decomposition, a virtual control law is generated and converted into a real control law, thereby realizing distributed formation control of the unmanned surface vessel swarm.

Benefits of technology

In confined communication environments, it improves the robustness and control stability of unmanned surface vessel (USV) swarm formations, reduces data transmission latency and communication failure risks, and ensures formation integrity and motion consistency.

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Abstract

本发明提供一种无人艇集群编队控制方法及装置,涉及无人艇编队技术领域,所述方法包括:建立无人艇的运动学与动力学模型和无人艇集群的无向通信拓扑和非周期离散采样通信机制;根据无人艇集群的编队成员数量和期望队形信息,得到无人艇集群中每艘无人艇的位置误差向量;根据无人艇的位置误差向量进行状态扩张,得到状态误差向量,并构建每艘无人艇的状态误差系统;根据状态误差系统,得到无人艇集群的全局状态误差闭环系统;将全局状态误差闭环系统分解为编队轨迹子系统与等效扰动子系统,再生成虚拟控制律,对虚拟控制律进行状态逆变换得到真实控制律,通过真实控制律对无人艇集群进行编队控制。本发明提升了无人艇集群编队整体的控制稳定性。
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