Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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Ship Dynamics Modeling Based on Multivariate Identification by Linear Combination of Principal Components

주성분의 선형 결합을 통한 다변수 식별에 기반한 선박 조종 운동 모델 개발

  • Dong-Hwan Kim (Research Institute of Future Mobility System, Chungnam National University) ;
  • Minchang Kim (Department of Autonomous Vehicle System Engineering, Chungnam National University) ;
  • Seungbeom Lee (Department of Autonomous Vehicle System Engineering, Chungnam National University) ;
  • Jeonghwa Seo (Department of Autonomous Vehicle System Engineering, Chungnam National University)
  • 김동환 (충남대학교 미래모빌리티시스템연구소) ;
  • 김민창 (충남대학교 자율운항시스템공학과) ;
  • 이승범 (충남대학교 자율운항시스템공학과) ;
  • 서정화 (충남대학교 자율운항시스템공학과)
  • Received : 2024.04.26
  • Accepted : 2024.06.19
  • Published : 2024.08.20
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Abstract

The present study suggests a data-driven multivariate identification method based on principal component analysis and shows an application to ship dynamics modeling in maneuver. A reduced order model of ship dynamics is built by linear combination of three principal components acquired from large angle zigzag maneuver test. For a given kinematic state with three variables, a proper span is found by least square method, therefore accompanying hydrodynamic force and moment is determined. Suggested dynamics model correctly estimates hydrodynamic force and moment, thus it showed good agreement in maneuver simulation with that of conventional ship dynamics model obtained by system identification of captive model tests.

Keywords

Acknowledgement

본 연구는 한국연구재단 지원의 '우수신진연구(NRF-2021R1C1C1014206)'사업으로 수행된 연구임.

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