Identification of Nonlinear Manoeuvring Models for Marine Vessels Using Planar Motion Mechanism Tests

Ross, Andrew; Hassani, Vahid; Selvik, Ørjan; Ringen, Edvard; Fathi, Dariusz

doi:10.1115/omae2015-41789

Cited by 15 publications

(23 citation statements)

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“…Firstly, to use the ShipX manoeuvring plugin, HullVisc, which is a striptheory program, combined with heuristic tuning to an extensive database of ships [5]. Secondly, the option is to utilise experimental tests, and to form a set of hydrodynamic derivatives based on these, taking advantage of SIN-TEF Ocean's manoeuvering identification code, IDSIMAN [6]. This second form of manoeuvring analysis is the topic analysed here.…”

Section: Manoeuvring Modelmentioning

confidence: 99%

“…In either case, the results are combined in the ShipX Vessel Simulator Plug-in for calculation of the retardation functions, and simulator setup. A comprehensive description of the methodologies involved in deriving and implementing effective simulation models can be found in the two papers [6,7].…”

Section: Manoeuvring Modelmentioning

confidence: 99%

“…is then the relevant task. The posed problem is solved using SINTEF Ocean's in-house tool, IDSIMAN, as described, for example in [6].…”

Section: Manoeuvring Modelmentioning

confidence: 99%

“…These tests dynamically excite the captive model, and were combined with accurate force and moment measurements, so as to be used to fit to an advanced model utilising IDSIMAN. Details on the approach used are described in [6,7]. The procedure of regression is verified by checking that the test data is reasonably accurately recreated by the manoeuvring model.…”

Section: Verification and Validation Verification Of Manoeuvring Modelmentioning

confidence: 99%

See 3 more Smart Citations

Manoeuvring Validation Analysis of the M/F Landegode

Ross

Fathi

2017

Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium

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Section: Manoeuvring Modelmentioning

confidence: 99%

Section: Manoeuvring Modelmentioning

confidence: 99%

“…is then the relevant task. The posed problem is solved using SINTEF Ocean's in-house tool, IDSIMAN, as described, for example in [6].…”

Section: Manoeuvring Modelmentioning

confidence: 99%

Section: Verification and Validation Verification Of Manoeuvring Modelmentioning

confidence: 99%

See 2 more Smart Citations

Manoeuvring Validation Analysis of the M/F Landegode

Ross

Fathi

2017

Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium

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“…The least squares method is a very classic technique for system identification. It was used to estimate the hydrodynamic coefficients based on Planar Motion Mechanism (PMM) tests by Ross et al [6], and Hassani et. al.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Parameter Estimation of a Nonlinear Vessel Steering Model Using a Support Vector Machine

Hinostroza

Hassani

et al. 2019

Journal of Offshore Mechanics and Arctic Engineering

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The least-square support vector machine (LS-SVM) is used to estimate the dynamic parameters of a nonlinear marine vessel steering model in real-time. First, maneuvering tests are carried out based on a scaled free-running ship model. The parameters are estimated using standard LS-SVM and compared with the theoretical solutions. Then, an online version, a sequential least-square support vector machine, is derived and used to estimate the parameters of vessel steering in real-time. The results are compared with the values estimated by standard LS-SVM with batched training data. By comparison, a sequential least-square support vector machine can dynamically estimate the parameters successfully, and it can be used for designing a dynamic model-based controller of marine vessels.

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Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

et al. 2017

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Abstract-In this work we demonstrate the use of co-simulation technology in the maritime industry through four relevant examples of applications based on the outcome of the knowledgebuilding project Virtual Prototyping of Maritime Systems and Operations (ViProMa). Increasing computational capabilities opens for extended use of simulators in the design processes. Even complex systems can now be analyzed at an early stage of the design process and even in real time using distributed simulation technology. We conduct an assessment of the need for co-simulation technology in the industry, present a short background in co-simulation technology, and provide a short summary of the major findings and deliverables in the ViProMa project (http://viproma.no). The four case studies presented in this work pinpoint different advantages of using co-simulations in the industry, such as combining different modeling and simulation tools, improving collaboration without revealing sensitive information by using black-box models, testing conceptual designs in a fast and consistent manner before initiating building processes, and verifying the interplay between hardware and software in the simulation environment in hardware in the loop (HIL) tests. All the case studies are simulated using the open source co-simulation software Coral developed in the project, using the Functional Mock-up Interface (FMI) standard, and the co-simulation software can be downloaded from the project's web site.

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Identification of Nonlinear Manoeuvring Models for Marine Vessels Using Planar Motion Mechanism Tests

Cited by 15 publications

References 0 publications

Manoeuvring Validation Analysis of the M/F Landegode

Manoeuvring Validation Analysis of the M/F Landegode

Real-Time Parameter Estimation of a Nonlinear Vessel Steering Model Using a Support Vector Machine

Virtual prototyping of maritime systems and operations: applications of distributed co-simulations

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