81009083

open access

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Novel Identification Method of Maneuverability Indices Concerning Drift Motion Based on Successive Data Assimilation

English (英語)

Journal of maritime researches

5

1-13

神戸大学大学院海事科学研究科附属国際海事研究センター

2015-06

2015-09-15

Novel identification method of maneuverability indices concerning drift motion is proposed in this study. This method is based on successive data assimilation which is a new methodology combining the idea of the time series analysis and the computational simulation. In this methodology, the prediction with the computational simulation in the framework of the general state-space modeling procedure is improved by using the observation data with the full scale or model experiment. In this study, the self-organizing state-space (SOSS) modeling procedure is specifically applied to identify unknown parameters that is the maneuverability indices concerning the drift motion. The Monte Carlo filter is adopted to perform the state estimation in SOSS modeling. In order to verify the proposed procedure, numerical experiments were carried out. From t h e results, it can be confirmed that the maneuverability indices concerning the drift motion are identified well.

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