文章基本信息

标题：Automated Maneuvering in Confined Waters using Parameter Space Model and Model-based Control ⁎
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作者：Martin Kurowski ; Agnes Schubert ; Torsten Jeinsch 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：14495-14500
DOI：10.1016/j.ifacol.2020.12.1452
语种：English
出版社：Elsevier
摘要：AbstractThe paper discusses methods to increase the level of automation in ship handling towards a possible autonomous operation. The focus is on maneuvering situations in confined waters within the velocity range between dynamic positioning and transiting. While performant automation solutions exist for specialized vessels, standard ships are operated manually in maneuvering situations. In this context, one challenge is to adapt a model for controller design of maneuvering vessels. It is a cumbersome task to parameterize the common hydrodynamical oriented models, especially for maneuvering standard ships. Therefore, a more experimental approach has been chosen to decrease the complexity of the model structure. In that way, the applied motion model is highly abstracted and has a minimal number of parameters which are mapped in parameter spaces. For motion control, a cascaded structure integrating a velocity and a maneuver control system has been designed. The low-level part consists of a model-based feedforward control applying the parameter space model implicitly. Further a simple decentralized multi-variable feedback controller is used. Here, a robust approach has been applied for controller parameterization by assigning a specific parameter space to each defined operation range. The methods are verified and validated with two demonstrators. Firstly a passenger vessel is used in a ship handling simulator and secondly real world experiments are performed applying an unmanned surface vehicle. The objective of these trials is automated maneuvering in the port of Rostock.
关键词：KeywordsMarine Systemsparameter space methodmodel-based controlrobust control applicationunmanned surface vehiclesimulation