Optimization of ship manoeuvring within the project GALILEOnautic

Optimization of ship manoeuvring within the project GALILEOnautic The goal of the project GALILEOnautic is to develop a system for autonomous navigation and optimal manoeuvring of cooperative ships within safety‐critical areas. In this context, many challenges arise in the field of optimization and optimal control. The research presented here addresses one of them, namely, the calculation of optimal trajectories and controls for a group of cooperative ships navigating within the limits of a harbour. The adopted approach is to embed all aspects of the problem into a single optimal control problem, whose objective is to minimize the time to destination of each ship as well as their overall energy consumption. Path constraints are applied to maintain the ships at a safe distance from each other and from the infrastructure of the harbour. A two‐ship scenario is implemented, for which optimal trajectories and controls are successfully computed. The numerical computation of this problem is performed using the software library WORHP, the official ESA NLP solver, and moreover the software TransWORHP, which transcribes optimal control problems into optimization problems. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

Optimization of ship manoeuvring within the project GALILEOnautic

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Publisher
Wiley
Copyright
Copyright © 2017 Wiley Subscription Services
ISSN
1617-7061
eISSN
1617-7061
D.O.I.
10.1002/pamm.201710374
Publisher site
See Article on Publisher Site

Abstract

The goal of the project GALILEOnautic is to develop a system for autonomous navigation and optimal manoeuvring of cooperative ships within safety‐critical areas. In this context, many challenges arise in the field of optimization and optimal control. The research presented here addresses one of them, namely, the calculation of optimal trajectories and controls for a group of cooperative ships navigating within the limits of a harbour. The adopted approach is to embed all aspects of the problem into a single optimal control problem, whose objective is to minimize the time to destination of each ship as well as their overall energy consumption. Path constraints are applied to maintain the ships at a safe distance from each other and from the infrastructure of the harbour. A two‐ship scenario is implemented, for which optimal trajectories and controls are successfully computed. The numerical computation of this problem is performed using the software library WORHP, the official ESA NLP solver, and moreover the software TransWORHP, which transcribes optimal control problems into optimization problems. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Journal

Proceedings in Applied Mathematics & MechanicsWiley

Published: Jan 1, 2017

References

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