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Bounded Containment Maneuvering Protocols for Marine Surface Vehicles With Quantized Communications and Tracking
IEEE Transactions on Cybernetics
|October 3, 2024
Summary
New containment maneuvering protocols for multiple marine surface vehicles (MSVs) ensure finite-time tracking error constraints and reduce communication load. This advanced control strategy improves coordination and dynamic performance for MSVs following a set path.
Area of Science:
- Marine robotics and control systems engineering.
- Autonomous navigation and coordination of multi-vehicle systems.
Background:
- Coordinated control of multiple marine surface vehicles (MSVs) presents challenges in path following and communication efficiency.
- Existing methods often struggle with finite-time error constraints and quantized information exchange.
Purpose of the Study:
- To develop novel containment maneuvering protocols for multiple MSVs.
- To ensure tracking errors are constrained within finite time during path following.
- To reduce communication load through quantized information transmission.
Main Methods:
- A two-objective coordinated control framework integrating geometric and dynamic objectives.
- Development of tan-type barrier Lyapunov functions (BLFs) and finite-time guidance laws for improved geometric control.
- Implementation of a quantized control strategy with smooth saturation functions for bounded dynamic maneuvering.
Main Results:
- The proposed protocols successfully constrained tracking errors within finite time.
- Significant alleviation of communication burden among MSVs was achieved.
- Enhanced dynamic behavior and faster path updating speed were demonstrated.
- Theoretical analysis and experimental tests validated the strategy's effectiveness.
Conclusions:
- The novel containment maneuvering strategy effectively addresses path following and communication constraints for multiple MSVs.
- The integration of BLFs and quantized control offers a robust solution for coordinated marine vehicle operations.
- The findings pave the way for more efficient and reliable autonomous marine systems.
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