高海况环境下分布式无人艇集群协同感知与控制一体化方法及系统
By integrating collaborative sensing and control using multi-source heterogeneous sensors and distributed communication networks, the problems of attitude instability and path deviation of unmanned surface vessels (USVs) under high sea states were solved, enabling efficient collaborative operation of USV swarms and improving the reliability and success rate of mission execution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI JIAOTONG UNIV
- Filing Date
- 2025-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
In high sea state environments, unmanned surface vessels (USVs) face problems such as attitude instability, path deviation, and low efficiency in collaborative operations. Existing technologies cannot achieve efficient integrated collaborative perception and control, making it difficult to meet the needs of complex missions.
By employing multi-source heterogeneous sensors, distributed communication networks, error correction coding technology, distributed Kalman filtering algorithm, model predictive control algorithm, and cooperative control protocol, and through spatiotemporal calibration, data fusion, and closed-loop feedback, the unmanned surface vessel swarm achieves integrated cooperative perception and control.
It improves the operational capability and reliability of unmanned surface vessel (USV) swarms in high sea states, ensuring accurate target identification, stable navigation, avoiding attitude loss of control, and improving the success rate and efficiency of mission execution.
Smart Images
Figure CN120508099B_ABST