English

应用科学学报 ›› 2010, Vol. 28 ›› Issue (1): 99-105.

• 控制与系统 • 上一篇    下一篇

跨音速大气/惯性攻角两步融合算法

李睿佳， 李荣冰， 刘建业， 孟博   

  1. 南京航空航天大学导航研究中心，南京210016
  • 收稿日期:2009-08-18 修回日期:2009-11-17 出版日期:2010-01-20 发布日期:2010-01-20
  • 作者简介:刘建业，教授，博导，研究方向： 惯性导航、卫星导航、组合导航、导航与控制、连载导航与智能交通等，E-mail: ljyac@nuaa.edu.cn
  • 基金资助:

    航空科学基金（No.20080852012）； 航空科研基金（No.200903611182）

Two-Step Fusion Algorithm for ADS/INS Angles of Attack on Transonic Flight

LI Rui-jia, LI Rong-bing, LIU Jian-ye, MENG Bo   

  1. Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2009-08-18 Revised:2009-11-17 Online:2010-01-20 Published:2010-01-20

PDF

1685

被引次数

8

摘要：

攻角是飞机飞行的重要状态参数，也是飞控及导航系统必需的参数，现代战机对攻角精度要求越来越高.大气数据系统在跨音速条件下性能严重下降，大气攻角精度受到很大影响. 针对试验机大气数据传感器的配置特点，该文设计了一种基于变参数互补滤波器与神经网络的跨音速大气/惯性攻角两步融合算法，实现惯导系统和大气系统的攻角信息融合. 首先进行跨音速惯导天向回路解算，而后利用互补滤波器与神经网络对大气/惯性攻角进行互补融合与修正，使最终的融合修正攻角平稳、可靠，逼近真实攻角. 本文利用某型飞机的实际试飞数据对两步融合算法进行了验证. 结果表明，融合修正后的攻角能够基本去除跨音速飞行阶段原始大气攻角的剧烈波动，并与真实攻角吻合.

关键词: 大气数据系统, 惯性导航系统, 飞行攻角, 互补滤波器, BP神经网络, 融合算法

Abstract:

The angle of attack (AOA) is an important state parameter of flight. It is also a necessary parameter in flight control and navigation systems. The modern fighters have increasing demands on the AOA accuracy. The performance of air data systems (ADS) seriously declines under transonic conditions. The accuracy of ADS-AOA is seriously affected. In view of air data sensor configuration features of testing plane, a transonic ADS-INS AOA two-step fusion algorithm based on variable parameters complementary filter and neural network is designed in this paper to achieve fusion of INS and ADS. The divergent transonic INS vertical velocity is resolved. Variable parameters complementary filter and neural network are used to fuse and correct ADS-INS AOA. The result approaches the true AOA with stability and reliability. Actual flight data are used to validate the two-step fusion algorithm. The results show that the AOA after fusion and correction can eliminate violent fluctuations of ADS-AOA under transonic condition. Its tendency coincides with the true AOA with small error.

Key words: air data systems,, INS, angle of attack, complementary filter, BP neural network, fusion algorithm

中图分类号: