Adaptive Control Barrier Functions for Near-Structure ROV Operations

This paper introduces a novel control design focused on enhancing the operational safety and efficiency of inspection, maintenance, and repair (IMR) operations conducted by autonomous remotely operated vehicles. Specifically, we propose using a safeguarding controller based on an adaptive control barrier function (CBF) incorporating safety properties previously identified in the literature. This approach permits temporary safe set violations, using an integrative penalty term to strengthen safety measures when necessary. A nominal nonlinear controller inside the safety bounds is proposed to ensure good reference tracking. The proposed controller is demonstrated in a simulation case study where an ROV (remotely operated vehicle) is set to clean an offshore monopile. The simulation includes unknown time-varying and step-like disturbances caused by water waves, the tether, ocean currents, and the high-pressure water jet. The proposed control law can react to the disturbances, and the ROV never leaves the defined safe set.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801882
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33
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Adaptive Control Barrier Functions for Near-Structure ROV Operations

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1 citations
Adaptive Control of Nonlinear Systems
0.33
article

Adaptive Control Barrier Functions for Near-Structure ROV Operations

Mathias Marley, Malte von Benzon, Jesper Liniger, Simon Pedersen, Fredrik Fogh Sørensen
article en
1 citations

Abstract

This paper introduces a novel control design focused on enhancing the operational safety and efficiency of inspection, maintenance, and repair (IMR) operations conducted by autonomous remotely operated vehicles. Specifically, we propose using a safeguarding controller based on an adaptive control barrier function (CBF) incorporating safety properties previously identified in the literature. This approach permits temporary safe set violations, using an integrative penalty term to strengthen safety measures when necessary. A nominal nonlinear controller inside the safety bounds is proposed to ensure good reference tracking. The proposed controller is demonstrated in a simulation case study where an ROV (remotely operated vehicle) is set to clean an offshore monopile. The simulation includes unknown time-varying and step-like disturbances caused by water waves, the tether, ocean currents, and the high-pressure water jet. The proposed control law can react to the disturbances, and the ROV never leaves the defined safe set.

Norwegian University of Science and Technology (NO), Aalborg University (DK)
Climate action
Openalex Percentile: Top 38%
Adaptive Control of Nonlinear Systems
0.33
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