可折叠变形机翼的微型水下滑翔机,实现复杂环境灵活航行。
Design, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable Wings

- 通过可独立控制的折叠/偏转机翼,实现形态自适应
- 多体动力学模型精准捕捉不同构型下的质心与水动力变化
- 实验验证其在狭小空间内主动变构形航行能力
微型混合式水下滑翔机因具备长时间海洋观测和狭窄空间检测能力而受到关注。大范围机翼重构为提升受限水下环境中机动性与形状适应性提供了新思路,但其机械集成、动态建模与水动力特性分析面临挑战。本文提出FoDeGlider,一种配备两个独立驱动机翼的微型混合水下滑翔机,可实现大范围折叠与偏转。为表征构型变化对质量分布、几何中心及水动力的影响,构建了将机翼构型作为结构变量的多体动力学模型。基于复合刚体算法(CRBA)的投影形式,统一表述复合惯性、力矩变换与部件级水动力,形成适用于任意机翼构型的Fossen形式动力学模型。进一步提出顺序参数识别框架,用于估计机身与机翼的水动力系数,建立开放基准数据集以支持模型标定与验证。大量实验表明,该模型在多种变形构型下均具备高精度动态建模与参数识别能力。门洞穿越实验进一步验证了FoDeGlider在运动过程中主动重构形态的能力,显著提升了在狭小水下环境中的导航性能。
原文摘要 · Abstract (English)
Miniature hybrid underwater gliders have attracted increasing attention for long-endurance ocean observation and confined-space inspection. Large-range wing reconfiguration offers a promising yet largely unexplored approach for simultaneously enhancing maneuverability and shape adaptability in constrained underwater environments. However, such morphing introduces substantial challenges in mechanical integration, dynamic modeling, and hydrodynamic characterization. This paper presents FoDeGlider, a miniature hybrid underwater glider equipped with two independently actuated wings capable of large-range folding and deflection. To capture configuration-dependent variations in mass distribution, center-of-geometry location, and hydrodynamic loading, a multibody dynamics model is developed by treating wing configuration as a structural variable. A composite rigid body algorithm (CRBA)-based projection formulates the composite inertia, wrench transformations, and component-level hydrodynamics into a unified Fossen-form dynamic model applicable to arbitrary wing configurations. A sequential parameter-identification framework is further proposed to estimate fuselage and wing hydrodynamic coefficients, resulting in an open benchmark dataset for model identification and validation. Extensive experiments are conducted, the results of which demonstrate accurate dynamic modeling and parameter identification across diverse morphing configurations. Gate traversal experiments further validate FoDeGlider's ability to actively reconfigure its morphology during locomotion, enabling enhanced navigation in confined underwater environments.
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