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<p>This paper proposes a surrogate model-based vibration optimization method for the flexible support structure of a propulsion shaft system in an unmanned underwater vehicle (UUV). A shaft segment division method is proposed for the dynamic model of the propulsion shaft system; the effects of the flexible support are analyzed by using the finite element method. The surrogate model of the system response to the support parameters is established by using the Kriging model. The gravity search algorithm (GSA) method is used to obtain the optimal support parameters. The objective function is established based on the system vibration responses. The location, stiffness, and mass of the flexible support are optimized by using the proposed method. Compared to the optimization result from the Kriging-GSA method, the relative difference to the result from the real model is decreased from 35.7% to 3.6% with only 9.8% higher time cost. This study could provide some guidance for the vibration optimization method for UUV’s propulsion shaft systems.</p>

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A surrogate model-based optimization method of the flexible support structure in the propulsion shaft system of an UUV

  • 期刊论文

  • 发表日期：

    2026年5月27日

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  • Yuchen An,
  • Jianyu Liu,
  • Jing Liu,
  • Qiaogao Huang,
  • Guang Pan

摘要

This paper proposes a surrogate model-based vibration optimization method for the flexible support structure of a propulsion shaft system in an unmanned underwater vehicle (UUV). A shaft segment division method is proposed for the dynamic model of the propulsion shaft system; the effects of the flexible support are analyzed by using the finite element method. The surrogate model of the system response to the support parameters is established by using the Kriging model. The gravity search algorithm (GSA) method is used to obtain the optimal support parameters. The objective function is established based on the system vibration responses. The location, stiffness, and mass of the flexible support are optimized by using the proposed method. Compared to the optimization result from the Kriging-GSA method, the relative difference to the result from the real model is decreased from 35.7% to 3.6% with only 9.8% higher time cost. This study could provide some guidance for the vibration optimization method for UUV’s propulsion shaft systems.