航空学报 > 2023, Vol. 44 Issue (21): 529302-529302   doi: 10.7527/S1000-6893.2023.29302

智能变形飞行器发展需求及难点分析

张旭辉, 解春雷(), 刘思佳, 闫溟, 邢思远   

  1. 中国航天科技创新研究院,北京 100176
  • 收稿日期:2023-07-10 修回日期:2023-08-14 接受日期:2023-08-24 出版日期:2023-11-15 发布日期:2023-09-01
  • 通讯作者: 解春雷 E-mail:xiechl2022@163.com
  • 基金资助:
    国家自然科学基金(52192633)

Development needs and difficulty analysis for smart morphing aircraft

Xuhui ZHANG, Chunlei XIE(), Sijia LIU, Ming YAN, Siyuan XING   

  1. China Academy of Aerospace Science and Innovation,Beijing 100176,China
  • Received:2023-07-10 Revised:2023-08-14 Accepted:2023-08-24 Online:2023-11-15 Published:2023-09-01
  • Contact: Chunlei XIE E-mail:xiechl2022@163.com
  • Supported by:
    National Natural Science Foundation of China(52192633)

摘要:

随着智能技术向军事领域的渗透与发展,未来的智能化战争将呈现“认知与决策更加复杂、变化与演进更加迅速、进入与拒止全域全维”3个方面的特征,下一代飞行器将以按需飞行为本,以人工智能为核,以灵活变化为要。智能变形飞行器,其特点突出表现在“智能”与“变形”两方面,整体发挥“算法极速升级”与“硬件极度灵活”的双重优势,有望形成新型飞行模式与新质作战能力,将是未来重要的发展趋势。然而智变飞行器技术难度高,变形在系统复杂度提升等方面带来代价,对气动设计、飞行控制、结构实现均提出诸多难题,其核心问题是在工程多学科约束下实现每个形态的最优设计,具体涉及变形过程中的全剖面优化准则、变形结构机构实现、性能预示与验证等。

关键词: 智能变形飞行器, 智能化战争, 多域作战, 气动设计, 变形决策, 智能材料

Abstract:

With the development and application of artificial intelligent technologies in the military field, future intelligent warfare is to demonstrate the following traits: more complex cognition and decision making, more rapid changes and evolution, and access and denial in the whole warfare. The next-generation flight vehicles will be flight-demand oriented, artificial-intelligence centered, and changing flexible. Smart morphing aircraft, obviously characterized by intelligent technology and deformation technology, can have dual advantages of fast algorithm upgrades and extremely flexible hardware. It introduces new flight modes and combat capabilities, and will therefore become an important trend. However, smart morphing aircraft design requires complicated technologies. The costs of deformation, such as the increased complexity of the machine system, pose challenges to aerodynamic design, flight control, and structural implementation. The challenges include the full-profile optimization, structural application, and performance prediction and validation in the deformation process, where the core problem is to achieve the optimal design in each shape in the context of multidisciplinary engineering.

Key words: smart morphing aircraft, intelligent warfare, multi-domain operation, aerodynamic design, deformation decision, smart material

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