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兵工学报 ›› 2018, Vol. 39 ›› Issue (10): 2056-2065.doi: 10.3969/j.issn.1000-1093.2018.10.020

• 研究简报 • 上一篇    下一篇

基于Hermite插值的制导炮弹姿态旋转矢量优化方法

邓志红1, 汪进文1, 尚剑宇1, 张翔1,2   

  1. (1.北京理工大学 自动化学院, 北京 100081; 2.中国兵器工业集团有限公司 西安电子工程研究所, 陕西 西安 710100)
  • 收稿日期:2018-01-23 修回日期:2018-01-23 上线日期:2018-11-19
  • 作者简介:邓志红(1974—),女,教授,博士生导师。E-mail:dzh_deng@bit.edu.cn;
    汪进文(1994—),男,硕士研究生。E-mail:javedwjw@163.com
  • 基金资助:
    武器装备预先研究项目(7131457)

Optimization of Rotation Vector of Guided Projectile Attitude Based on Hermite Interpolation

DENG Zhi-hong1, WANG Jin-wen1, SHANG Jian-yu1, ZHANG Xiang1,2   

  1. (1.School of Automation, Beijing Institute of Technology, Beijing 100081, China; 2.Xi'an Electronic Engineering Research Institute, China North Industries Group Corporation Limited, Xi'an 710100, Shaanxi, China)
  • Received:2018-01-23 Revised:2018-01-23 Online:2018-11-19

摘要: 在制导炮弹姿态解算过程中,角增量提取精度对姿态解算精度的影响显著,为此提出一种Hermite 插值二子样角增量提取算法。进一步优化Hermite插值公式的系数,得出优化Hermite插值二子样角增量提取算法。在锥动环境下,将该算法与Lagrange插值三子样角增量提取算法进行仿真和试验对比。结果表明:采用所提出的Hermite插值二子样角增量提取算法的姿态解算精度优于Lagrange插值,且优化Hermite插值更适用于制导炮弹姿态解算的实际情况;该算法不仅适用于制导炮弹高动态环境,而且在同样精度条件下,可降低姿态更新采样频率,降低了对导航计算机的要求。

关键词: 制导炮弹, 高动态锥动环境, 旋转矢量, 角增量提取, Hermite插值

Abstract: The angular incremental extraction accuracy has a significant effect on the attitude resolving accuracy in the attitude algorithm of guided projectiles. A Hermite interpolation-based extraction algorithm of two-sample angular increment is presented, and the coefficient of Hermite interpolation formula is optimized further. Then a Hermite interpolation algorithm for two-sample angular increment extraction is proposed. In the cone dynamic environment, the proposed algorithm is compared with the Lagrange interpolation three-sample angular increment extraction algorithm. The results show that the accuracy of attitude estimation using the proposed algorithm is better than that of Lagrange interpolation. The optimization of the Hermite interpolation is more suitable for the actual situation of guided projectile attitude algorithm. The algorithm not only adapts to the high dynamic environment of projectile, but also reduces the sampling frequency of attitude updating under the same precision condition and reduces the requirement of navigation computer. Key

Key words: guidedprojectile, highdynamicconedynamicenvironment, rotationvector, angularincrementextraction, Hermiteinterpolation

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