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Volume 30 Issue 2
Apr  2022
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2022  >  30(2): 157-164
ZHOU Yu, SUN Ming-wei, ZHANG Jian-hong, LIU Le-hua, CHEN Zeng-qiang. Analysis and Improvement of Supercavity Vehicle Planing Force Model[J]. Journal of Unmanned Undersea Systems, 2022, 30(2): 157-164. doi: 10.11993/j.issn.2096-3920.2022.02.003
Citation: ZHOU Yu, SUN Ming-wei, ZHANG Jian-hong, LIU Le-hua, CHEN Zeng-qiang. Analysis and Improvement of Supercavity Vehicle Planing Force Model[J]. Journal of Unmanned Undersea Systems, 2022, 30(2): 157-164. doi: 10.11993/j.issn.2096-3920.2022.02.003
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Analysis and Improvement of Supercavity Vehicle Planing Force Model

doi: 10.11993/j.issn.2096-3920.2022.02.003

  • 1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;

  • 2. Beijing Institute of Mechanical and Electrical Engineering, China Aerospace Science and Industry Corporation Limited, Beijing 100074, China

  • Received Date: 2021-05-28
    Available Online: 2022-07-16
    Abstract
  • The Dzielski benchmark and extended models have been widely applied in the study of supercavity vehicle control problems. At present, there are few comprehensive analyses of the differences between and rationale behind these models. In this study, these aspects were comparatively analyzed using numerical simulations of the state response and planing force of these models. The simulation results demonstrate that the cavity memory effect can reduce the peak value of the planing force, and cavity shift can affect the collision time and peak value of the planing force. Second, the unreasonable formulation of the planing force in the Balas model was improved. Finally, a new model is proposed based on the Mao model and its effectiveness is verified using numerical simulation. The comprehensive analysis and combination of supercavity vehicle models provide a reference for the design of a supercavity vehicle control system.

     

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