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<p>Turning performance represents a critical indicator of underwater vehicle maneuverability and correlates strongly with motion parameters such as rudder angle and propeller speed. This investigation examines the influence of rudder angle and propeller speed on underwater vehicle turning performance. A fully coupled CFD-based hull-propeller-rudder model enables high-accuracy computation of turning performance. The propeller modeling utilizes the body force method, while the overlapping mesh technique addresses the relative motion between rudder and hull. To optimize computational efficiency, an optimal Latin hypercube sampling method generates combinations of rudder angle and propeller speed, and a Kriging surrogate model substitutes for resource-intensive CFD simulations. Through application of the improved Sobol’s method, global sensitivity analysis quantitatively evaluates the contributions of rudder angle and propeller speed to turning performance. The analysis reveals that rudder angle substantially impacts turning performance, whereas propeller speed demonstrates comparatively limited influence.</p>

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Turning Performance Calculation and Influence Factor Analysis of Underwater Vehicle Based on Fully Coupled Hull-Propeller-Rudder Interaction

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Dai-yu Zhang,
  • Yi Li,
  • Fang-fang Hu,
  • Chao-ming Bao,
  • Qian Liu

摘要

Turning performance represents a critical indicator of underwater vehicle maneuverability and correlates strongly with motion parameters such as rudder angle and propeller speed. This investigation examines the influence of rudder angle and propeller speed on underwater vehicle turning performance. A fully coupled CFD-based hull-propeller-rudder model enables high-accuracy computation of turning performance. The propeller modeling utilizes the body force method, while the overlapping mesh technique addresses the relative motion between rudder and hull. To optimize computational efficiency, an optimal Latin hypercube sampling method generates combinations of rudder angle and propeller speed, and a Kriging surrogate model substitutes for resource-intensive CFD simulations. Through application of the improved Sobol’s method, global sensitivity analysis quantitatively evaluates the contributions of rudder angle and propeller speed to turning performance. The analysis reveals that rudder angle substantially impacts turning performance, whereas propeller speed demonstrates comparatively limited influence.