基于AIS数据的船舶操纵性指数辨识研究

doi:10.16182/j.issn1004731x.joss.201702023

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (2): 402-408.doi: 10.16182/j.issn1004731x.joss.201702023

基于AIS数据的船舶操纵性指数辨识研究

宁方鑫¹, 熊勇^1,2, 牟军敏^1,2, 黄兴东¹

1.武汉理工大学航运学院,湖北武汉 430063;
2.武汉理工大学内河航运技术湖北省重点实验室,湖北武汉 430063

收稿日期:2016-05-18 修回日期:2016-08-03 出版日期:2017-02-08 发布日期:2020-06-01
作者简介:宁方鑫(1993-),男,山东泰安,硕士生,研究方向为船舶运动建模与控制,船舶模式识别。
基金资助:
国家自然科学基金(51579201),交通运输部应用基础项目(2013329811310)

Ship Maneuverability Index Identification Based AIS Data

Ning Fangxin¹, Xiong Yong^1,2, Mou Junmin^1,2, Huang Xingdong¹

1. School of Navigation, Wuhan university of technology, Wuhan 430063, China;
2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan university of technology, Wuhan 430063, China

Received:2016-05-18 Revised:2016-08-03 Online:2017-02-08 Published:2020-06-01

摘要/Abstract

摘要： 基于船舶自动识别系统(AIS)数据提出一种船舶操纵性指数的辨识模型。通过对船舶AIS数据进行处理和解码,运用三次样条插值法对ROT值进行数据重构。通过时间序列的频谱分析法筛选合适的ROT值航段,通过船载航行数据记录仪(VDR)获得船舶在选定ROT值航段的舵角信息。运用粒子群优化算法(PSO)对处理后的AIS数据进行参数辨识,得到船舶在当前速度下的船舶操纵性指数值。通过与船舶真实操纵性指数值进行Z型仿真试验和旋回仿真试验对比,结果表明,应用粒子群优化算法可以实现基于AIS数据的船舶操纵性指数的辨识。

关键词: 自动识别系统(AIS), 船舶运动响应模型, 三次样条插值法, 功率谱, 粒子群算法, 参数辨识

Abstract: A novel method of ship maneuverability index identification on the basis of Automatic Identification System (AIS) data was proposed. By decoding and processing the raw data of AIS, data of rate of turning (ROT) are re-constructed with application of cubic spline interpolation method. Time series spectrum analysis was introduced to select appropriate ROT data segment. Based on the ROT data segment, rudder angle information was obtained by using ship Voyage Data Recorder (VDR). To identify ship's maneuverability index, particle swarm optimization algorithm (PSO) was applied to obtain ship maneuvering parameters under the current speed. The result was compared with actual ship maneuvering index estimated by zigzag simulation experiment and cycle simulation experiment, which indicates that PSO can be introduced to identify ship maneuverability index.

Key words: automatic identification system (AIS), ship motion response model, cubic spline interpolation, power spectrum, particle swarm optimization, parameter Identification

中图分类号:

U661.33

宁方鑫, 熊勇, 牟军敏, 黄兴东. 基于AIS数据的船舶操纵性指数辨识研究[J]. 系统仿真学报, 2017, 29(2): 402-408.

Ning Fangxin, Xiong Yong, Mou Junmin, Huang Xingdong. Ship Maneuverability Index Identification Based AIS Data[J]. Journal of System Simulation, 2017, 29(2): 402-408.

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基于AIS数据的船舶操纵性指数辨识研究

Ship Maneuverability Index Identification Based AIS Data

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