Mingda Zhu, Tongtong Wang, Houxiang Zhang, Guoyuan Li
{"title":"Ship manoeuvring model identification under wind disturbance","authors":"Mingda Zhu, Tongtong Wang, Houxiang Zhang, Guoyuan Li","doi":"10.1109/RCAR54675.2022.9872289","DOIUrl":null,"url":null,"abstract":"Due to the recent technological advancement into the ship digitalization and automation, there has been an increasing demand for more accurate determination of the ship mathematical model. In order to establish a more realistic ship manoeuvring model, it will be a vital task to estimate the hydrodynamic coefficients while considering the effect of environmental disturbances, such as the wind. To account for the measurable wind perturbation which current research often neglects, in this paper, a deterministic model is constructed, based on which the SVM method is implemented to identify the hydrodynamic coefficients. The parameter identification is conducted on a 3-degree of freedom Abkowitz model using data collected from a sequential zigzag manoeuvre, and the results are verified against the benchmark value. The model performance is further validated by trajectory comparisons. Simulation results show the effectiveness of the method in cases where the wind speed is less than 8m/s and the measurement noise is less than 13%.","PeriodicalId":304963,"journal":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR54675.2022.9872289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the recent technological advancement into the ship digitalization and automation, there has been an increasing demand for more accurate determination of the ship mathematical model. In order to establish a more realistic ship manoeuvring model, it will be a vital task to estimate the hydrodynamic coefficients while considering the effect of environmental disturbances, such as the wind. To account for the measurable wind perturbation which current research often neglects, in this paper, a deterministic model is constructed, based on which the SVM method is implemented to identify the hydrodynamic coefficients. The parameter identification is conducted on a 3-degree of freedom Abkowitz model using data collected from a sequential zigzag manoeuvre, and the results are verified against the benchmark value. The model performance is further validated by trajectory comparisons. Simulation results show the effectiveness of the method in cases where the wind speed is less than 8m/s and the measurement noise is less than 13%.