Self-Triggered Formation Control of an Asynchronous Multiple Underwater Unmanned Vehicle Under Communication Delay

To address the problem of multiple underwater unmanned vehicle (UUV) formation tracking under bounded communication delay, considering the existence of model parameter perturbations of UUVs as well as external ocean current disturbances, a distributed robust model predictive controller (DRMPC) with a dual closed-loop control structure and self-triggering mechanism is proposed. Among them, the outer-loop controller transforms the target trajectory into the target speed required by the inner-loop controller, and the inner-loop controller solves the effects of model parameter perturbations and bounded disturbances by RMPC and a finite-time extended state observer (FESO). To reduce the communication load of the system, a self-triggering mechanism is designed to determine the next triggering moment while solving the outer-loop optimization problem. The feasibility and stability of this controller are analyzed via mathematical induction and the ISpS Lyapunov theory. Finally, the effectiveness of this formation controller is validated through simulation experiments with multi-UUV.

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Publication Details

Journal
Unmanned Systems
Published
2024-12-27
DOI
https://doi.org/10.1142/s2301385026500020
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35
Controls
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article

Self-Triggered Formation Control of an Asynchronous Multiple Underwater Unmanned Vehicle Under Communication Delay

Zheping Yan, Jinyu Yan
1 citations
Unmanned Systems
Distributed Control Multi-Agent Systems
0.35
article

Self-Triggered Formation Control of an Asynchronous Multiple Underwater Unmanned Vehicle Under Communication Delay

Zheping Yan, Jinyu Yan
article en
1 citations

Abstract

To address the problem of multiple underwater unmanned vehicle (UUV) formation tracking under bounded communication delay, considering the existence of model parameter perturbations of UUVs as well as external ocean current disturbances, a distributed robust model predictive controller (DRMPC) with a dual closed-loop control structure and self-triggering mechanism is proposed. Among them, the outer-loop controller transforms the target trajectory into the target speed required by the inner-loop controller, and the inner-loop controller solves the effects of model parameter perturbations and bounded disturbances by RMPC and a finite-time extended state observer (FESO). To reduce the communication load of the system, a self-triggering mechanism is designed to determine the next triggering moment while solving the outer-loop optimization problem. The feasibility and stability of this controller are analyzed via mathematical induction and the ISpS Lyapunov theory. Finally, the effectiveness of this formation controller is validated through simulation experiments with multi-UUV.

Unmanned SystemsVol. 14(02)
Harbin Engineering University (CN)
Life below water
Openalex Percentile: Top 35%
Distributed Control Multi-Agent Systems
0.35
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Self-Triggered Formation Control of an Asynchronous Multiple Underwater Unmanned Vehicle Under Communication Delay — Zheping Yan, Jinyu Yan · Unmanned Systems (2024) | TGRS Research Map | TGRS