Application of RPE in Ship Maneuvering Motion Parameter Identification Based on Ship Sea Trial Data

The mathematical model of ship maneuvering motion is the core of ship motion simulation and control, and it is still a difficult problem to accurately establish the mathematical model that reflects the actual ship motion state. In this paper, based on the typical maneuvering test data of the real sh...

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Bibliographic Details
Published in2024 43rd Chinese Control Conference (CCC) pp. 1452 - 1457
Main Authors Zhang, Xiufeng, Tian, Zihan, Zhang, Anqi
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Subjects
Accuracy
Data models
full-scale YUKUN
Mathematical models
Parameter estimation
Parameter identification
Prediction algorithms
Predictive models
Recursive Prediction Error method
Ship motion predict
Training
Typical ship sea trial
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Summary:The mathematical model of ship maneuvering motion is the core of ship motion simulation and control, and it is still a difficult problem to accurately establish the mathematical model that reflects the actual ship motion state. In this paper, based on the typical maneuvering test data of the real ship, the Recursive Prediction Error (RPE) method is used to identify the parameters of the 4-DOF motion mathematical model of the real ship, and the grey box mathematical model driven by the real ship data is established. Compared with the experimental data outside the training sample data set, the results have higher accuracy and reliability. This method is suitable for the motion prediction of real ship based on typical test data and can be used in the modeling of intelligent ship motion control and autonomous navigation motion prediction mathematical model.
ISSN:1934-1768
DOI:10.23919/CCC63176.2024.10661476