导航与控制 ›› 2020, Vol. 19 ›› Issue (4/5): 48-52.doi: 10.3969/j.issn.1674-5558.2020.h4.006

• 导航与制导 • 上一篇    下一篇

导弹智能化对惯性技术发展需求

董燕琴1, 陈效真2, 王常虹3   

  1. 1.96901部队,北京 100094;
    2.国家惯性技术产品质量监督检验中心,北京 100039;
    3.哈尔滨工业大学,哈尔滨 150001
  • 收稿日期:2020-03-16 出版日期:2020-10-05 发布日期:2020-12-22
  • 作者简介:董燕琴,女,博士,航空宇航科学与技术专业,研究员,研究方向为导航、制导与控制,曾获国家科技进步二等奖1项,军队科技进步一等奖3项、二等奖9项。

Requirements of Missile Intelligentization for Inertial Technology Development

DONG Yan-qin1, CHEN Xiao-zhen2, WANG Chang-hong3   

  1. 1. Unit 96901 of PLA, Beijing 100094;
    2. National Quality Supervision and Testing Center for Inertia Technology Products, Beijing 100039;
    3. Harbin Institute of Technology, Harbin 150001
  • Received:2020-03-16 Online:2020-10-05 Published:2020-12-22

摘要: 未来战争是智能化的战争,未来导弹的发展必然呈现智能化趋势。针对导弹智能化需要具备的智能感知、智能决策、智能控制、智能协同和智能突防等五方面特征,分析了惯性技术的作用和发展需求,颠覆性创新技术的不断涌现,也推动了新原理、新材料、新技术在惯性技术领域的应用。本文提出了需要突破的关键技术,包括惯导系统大数据应用技术、惯导系统容错及系统重构技术、智能协同导航系统的时空基准统一技术、以惯性系统为基础的信息集成技术等关键技术,并对适应未来网络协同作战的智能导弹导航控制需求提出了对策建议。

关键词: 惯性技术, 发展需求, 故障检测, 智能协同, 大数据

Abstract: The future war is intelligent, which suggests that there is an intelligent trend towards the development of missile. How much inertial technology may weight and how the developing requirements of missile intelligentization can be met are introduced in the following five critical aspects: intelligent sensing, intelligent decision, intelligent control, intelligent collaboration and intelligent penetration. Emergence of innovative technologies promotes the application of novel theory, novel material, and novel technique in the field of inertial technology. This paper proposes the key technologies to be break through, including: big data application technology in inertial systems, technology of inertial system fault tolerance and system reconstruction, space-time registration technology of intelligent cooperative navigation system, inertial system based information fusion technology. Countermeasures and suggestions are put forward to meet the requirements of intelligent missile navigation and control in future network collaborative operation.

Key words: inertial technology, developing requirement, fault detection, intelligent collaboration, big data

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