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Inertial Gyro Wave Energy Conversion Nonlinear Modeling and Power-Index Predictive Control for Autonomous Ship

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  • Nailong Wu
  • Xinyuan Chen
  • Shaonan Chen
  • Haodong Yuan
  • Jie Qi
  • Yueying Wang
  • Chih Chiang

Abstract

The complex marine environment and the high energy consumption of shipboard equipment pose challenges to the long-term navigation of autonomous unmanned ships. In wave-induced motion, inertial gyro antirolling technology is used to offset the energy transmitted by waves, but the massive consumption of energy is not conducive to long-term navigation of the unmanned ships. This paper attempts to exploit the wave energy transmitted by the gyro to improve the power supply of the unmanned ship. Firstly, a nonlinear coupling model of the gyro antirolling device and the unmanned ship is established. Secondly, considering various model constraints and physical constraints of the equipment, the energy evaluation objective function of nonlinear model predictive control (NMPC) is designed. In the simulation, the proposed control method can effectively extract electric energy from different waves.

Suggested Citation

  • Nailong Wu & Xinyuan Chen & Shaonan Chen & Haodong Yuan & Jie Qi & Yueying Wang & Chih Chiang, 2021. "Inertial Gyro Wave Energy Conversion Nonlinear Modeling and Power-Index Predictive Control for Autonomous Ship," Complexity, Hindawi, vol. 2021, pages 1-13, November.
    • Handle: RePEc:hin:complx:5571404
    DOI: 10.1155/2021/5571404
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    Cited by:

    1. Wang, Jinfeng & Zhang, Zhixin & Feng, Lijie & Lin, Kuo-Yi & Liu, Peng, 2023. "Development of technology opportunity analysis based on technology landscape by extending technology elements with BERT and TRIZ," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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