Manoeuvring modelling and control design of autonomous vessels on inland waterways
Paper i proceeding, 2024

Autonomous inland shipping has great potential to enable intelligent and sustainable freight transport. At the same time, with the increasing traffic on confined waterways, ensuring safe operations of these autonomous inland vessels within limited operational spaces becomes imperative. This will require considering hydrodynamic effects during control design stages. This study presents a comprehensive analysis of an autonomous inland vessel's manoeuvrability and controller design. The ship's motions are modelled using an enhanced Manoeuvring Modelling Group (MMG) model to account for the hydrodynamic effects of inland waterways, including water depths, river currents, and bank effects. A verification study is conducted utilising a pusher-barge prototype model in shallow water to verify the model's accuracy. Through the implementation of a controller, a course-keeping study is conducted to assess the vessel's steering performance across various inland waterway scenarios, including sailing along river bends and waterway intersections. The results show that the manoeuvring model can generate fast and accurate vessel trajectory predictions. It is found that the proposed control technique proves effective in mitigating the confinement effects and countering disturbances caused by river currents, thereby ensuring efficient course-keeping suitable for the considered type of autonomous vessels on inland waterways.

manoeuvring prediction

control design

inland waterways

Författare

Chengqian Zhang

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Abhishek Dhyani

TU Delft

Jonas Ringsberg

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Fabian Thies

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Vasso Reppa

TU Delft

Rudy Negenborn

TU Delft

Proceedings of The ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2024)

Vol. 5A-2024 OMAE2024-126580
9780791887820 (ISBN)

ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2024
Singapore, Singapore,

AUTOBarge - European training and research network on Autonomous Barges for Smart Inland Shipping

Europeiska kommissionen (EU) (EC/H2020/955768), 2021-10-01 -- 2025-09-30.

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Energi

Ämneskategorier

Transportteknik och logistik

Farkostteknik

Strömningsmekanik och akustik

Reglerteknik

Fundament

Grundläggande vetenskaper

DOI

10.1115/OMAE2024-126580

Mer information

Senast uppdaterat

2024-12-13