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飞行器旋转翼折展过程动稳定性研究进展

甘文彪 左振杰 向锦武 赵忠良 蔡军 马上

甘文彪,左振杰,向锦武,等. 飞行器旋转翼折展过程动稳定性研究进展[J]. 北京航空航天大学学报,2024,50(4):1053-1064 doi: 10.13700/j.bh.1001-5965.2022.0469
引用本文: 甘文彪,左振杰,向锦武,等. 飞行器旋转翼折展过程动稳定性研究进展[J]. 北京航空航天大学学报,2024,50(4):1053-1064 doi: 10.13700/j.bh.1001-5965.2022.0469
GAN W B,ZUO Z J,XIANG J W,et al. Research progress on dynamic stability of rotating variant wing opening and closing process for aircraft[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1053-1064 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0469
Citation: GAN W B,ZUO Z J,XIANG J W,et al. Research progress on dynamic stability of rotating variant wing opening and closing process for aircraft[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1053-1064 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0469

飞行器旋转翼折展过程动稳定性研究进展

doi: 10.13700/j.bh.1001-5965.2022.0469
基金项目: 国家自然科学基金(U2141249,11902018,U2141252);航空科学基金(2019ZA051001)
详细信息
    通讯作者:

    E-mail:ganhope@buaa.edu.cn

  • 中图分类号: V211;V212

Research progress on dynamic stability of rotating variant wing opening and closing process for aircraft

Funds: National Natural Science Foundation of China (U2141249,11902018,U2141252);Aeronautical Science Foundation of China (2019ZA051001)
More Information
  • 摘要:

    旋转翼是一种可绕固定轴旋转变体的机翼,广泛应用于新型无人机、巡飞弹、航空炸弹等飞行器,其折展过程中的动稳定特性是决定旋转翼飞行器设计成败的关键基础问题。基于此,梳理了近年来飞行器旋转翼折展过程动稳定机理的研究进展。介绍了旋转翼发展历程及其面临的折展动稳定关键问题;从非定常气动数值模拟、非定常动态特性数值模拟、CFD/RBD一体化耦合数值模拟3个层次阐述了折展过程动稳定数值模拟进展;介绍了旋转翼折展扰动下的非线性动力学建模及动稳定性分析的现状;分析了旋转翼折展动稳定性机理的风洞试验验证情况;总结了旋转翼折展过程动稳定研究面临的科学问题,并提出了可行的研究方向。

     

  • 图 1  AD-1飞机及其旋转翼折展示意图

    Figure 1.  Schematic diagram of folding and spreading of its rotating variant wing the AD-1aircraft as well as the rotating variant wing

    图 2  典型旋转翼飞行器示意图

    Figure 2.  Schematic diagram of typical rotary wing aircraft

    图 3  气动/运动耦合并行计算流程[24]

    Figure 3.  Flow chart of aerodynamic/motion coupling parallel computing[24]

    图 4  基于网格重叠的计算网格和流场示意图

    Figure 4.  Schematic diagram of calculation grid and flow field diagram based on grid overlap

    图 5  基于深度学习的流动特征与扰动参数建模过程

    Figure 5.  Flow characteristics and disturbance parameter modeling process based on deep learning

    图 6  基于极限学习机的随机型气动建模过程

    Figure 6.  Process of stochastic aerodynamic modeling based on limit learning machine

    图 7  动态试验风洞和结果[77]

    Figure 7.  Dynamic test wind tunnel and results[77]

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出版历程
  • 收稿日期:  2022-06-11
  • 录用日期:  2022-08-19
  • 网络出版日期:  2022-09-22
  • 整期出版日期:  2024-04-29

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