A Distributed NSB Algorithm for Formation Path Following

This article presents a distributed null-space-based behavioral (NSB) algorithm for the formation path-following problem of vehicles moving in three dimensions. The algorithm is applied to fleets of underactuated autonomous underwater vehicles (AUVs). The algorithm combines null-space-based control with consensus methods. First, we present a continuous-time version of the algorithm and prove its stability using Lyapunov analysis. Then, we present a discrete-time event-triggered version that, compared to similar formation path-following methods, can achieve the same steady state-error performance with fewer inter-vehicle transmissions. The effectiveness of both the continuous-time and the discrete-time algorithm is verified in numerical simulations. Furthermore, the discrete-time version is tested in experiments.

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2024-08-26
DOI
https://doi.org/10.1109/tcst.2024.3443703
Citations
3
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.98

Funders

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article

A Distributed NSB Algorithm for Formation Path Following

Josef Matouš, Damiano Varagnolo, Kristin Y. Pettersen, Claudio Paliotta
3 citations
IEEE Transactions on Control Systems Technology
Advanced Data Processing Techniques
0.98
article

A Distributed NSB Algorithm for Formation Path Following

Josef Matouš, Damiano Varagnolo, Kristin Y. Pettersen, Claudio Paliotta
article en
3 citations

Abstract

This article presents a distributed null-space-based behavioral (NSB) algorithm for the formation path-following problem of vehicles moving in three dimensions. The algorithm is applied to fleets of underactuated autonomous underwater vehicles (AUVs). The algorithm combines null-space-based control with consensus methods. First, we present a continuous-time version of the algorithm and prove its stability using Lyapunov analysis. Then, we present a discrete-time event-triggered version that, compared to similar formation path-following methods, can achieve the same steady state-error performance with fewer inter-vehicle transmissions. The effectiveness of both the continuous-time and the discrete-time algorithm is verified in numerical simulations. Furthermore, the discrete-time version is tested in experiments.

IEEE Transactions on Control Systems TechnologyVol. 33(1)
SINTEF (NO), Norwegian University of Science and Technology (NO), SINTEF Digital
Norges Forskningsråd
Openalex Percentile: Top 24%
Advanced Data Processing Techniques
0.98
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