Distributed MPC Formation Path Following for Acoustically Communicating Underwater Vehicles
Emil Wengle, Damiano Varagnolo

TL;DR
This paper develops a distributed model predictive control strategy for underwater vehicles that maintains formation and follows a path using acoustic communication, addressing real-world challenges like packet loss and asynchronous data exchange.
Contribution
It extends existing control algorithms to handle broadcast asynchronous communication, packet losses, and data quantization, making them more practical for real underwater environments.
Findings
Simulation results show the impact of adaptations on control performance.
Sensitivity analysis quantifies how hyperparameters affect performance.
Data rate savings are achievable with minimal control performance loss.
Abstract
We propose and analyse a model predictive control (MPC) strategy tailored for networks of underwater agents tasked with maintaining formation while following a shared path and using acoustic communication channels. The strategy accommodates both time-division and frequency-division medium access schemes, and addresses the inherent challenges of lossy and broadcast communication over acoustic media. Our approach extends an existing distributed control algorithm originally assuming standard double precision in exchanged data, and designed for synchronous, bidirectional, and reliable communication. Here we introduce adaptations for handling broadcast asynchronous communication, for mitigating packet losses, and for quantising exchanged data. These modifications are general and intended to be applicable to other distributed control schemes that were developed under idealised assumptions.…
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Taxonomy
TopicsUnderwater Vehicles and Communication Systems · Modular Robots and Swarm Intelligence · Opportunistic and Delay-Tolerant Networks
