Marine guidance using AI: Development of a optimization system for marine vessels
Typ
Examensarbete för masterexamen
Program
Systems, control and mechatronics (MPSYS), MSc
Publicerad
2022
Författare
Ljungquist, Lukas
Måneskiöld, Axel
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Navigating and handling a vessel optimally is by no means an easy task. Not only
does one have to find the appropriate path to a destination while avoiding obstacles
but also consider external forces such as weather conditions. Further, traveling by
water is often very energy-consuming. A guidance system to facilitate such tasks
should have great potential, not the least in the form of environmental effects. This
thesis has constructed a marine guidance system that utilizes modern optimization
methods to enable a more efficient way of voyage planning and handling of a vessel
concerning fuel economy.
Stochastic optimization and black-box modeling have enabled a system to handle
and optimize complex environments using minimal information. The results show
that it is possible to create accurate fuel consumption models regardless of the configuration of vessel model and engines.
Further, a robust path planning system has been derived that manages to optimize several objectives and help drivers achieve more efficient voyage planning. The
system has been shown to outscore the voyage planning capabilities of everyday
drivers of the sea. These results prove the capabilities of a field that still has much
to explore.
Beskrivning
Ämne/nyckelord
Artificial Intelligence , Marine Environment , Image Processing , Path Planning , Evolutionary Algorithms , Clustering , Optimization , Support Vector Regression