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Modeling and Simulation of Ship Swaying Attitude Based on Linear System Theory

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

At the establishment of ship swaying posture model is the core of ship motion attitude simulation research. In this paper, we use the linear system theory to deduce the transfer function of the ship motion attitude. We then establish the random wave motion model through the spectrum density function. The ship motion attitude model is established with the dip angle of the wave as input. The wave spectrum and wave dip angle of the third state waves and the fifth state waves are analyzed by simulation, and also the attitude angle of the ship at different encounter angles are analyzed to demonstrate that the method of establishing the model of ship motion attitude is credible.

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Authors and Affiliations

  1. Naval Aeronautical University, Yantai, 264001, China

    Haiwen Sun, Chengcheng Wang & Wei Pang

Authors
  1. Haiwen Sun
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  2. Chengcheng Wang
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  3. Wei Pang
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Corresponding author

Correspondence to Haiwen Sun .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Sun, H., Wang, C., Pang, W. (2019). Modeling and Simulation of Ship Swaying Attitude Based on Linear System Theory. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_63

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