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| Title: | Model predictive formation control of Multi-Vessel Systems considering Ship-to-Ship interaction | | | Authors: | X. Xiong, R.R. Negenborn, Y. Pang |
| | Journal: | Journal of Marine Science and Technology | | |
| | Abstract: | The formation control of autonomous surface vessels (ASVs) presents significant challenges when operating in close proximity, where ship-to-ship interaction become non-negligible. While conventional formation control methods often neglect these interactions or simplify them excessively, this paper develops a centralized Model Predictive Control (MPC) framework that explicitly incorporates a 3-degrees-of-freedom interaction model. This interaction model is constructed empirically based on existing Computational Fluid Dynamics (CFD) results, offering an efficient and practical way to approximate proximity-induced forces in real-time. The proposed control strategy enables accurate trajectory tracking and effective disturbance adaptation in typical formation geometries, including platooning, parallel, and triangular formations. Simulation results demonstrate that the MPC controller can outperform traditional PID controllers in both tracking precision and interaction robustness across the configurations. Formation-specific performance differences are also analyzed in detail. |
| | Reference: | Model predictive formation control of Multi-Vessel Systems considering Ship-to-Ship interaction. X. Xiong, R.R. Negenborn, Y. Pang. Accepted for publication in Journal of Marine Science and Technology, 2026. | | | Request: | A
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