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兵工学报 ›› 2011, Vol. 32 ›› Issue (11): 1384-1388.

• 论文 • 上一篇    下一篇

一种单目视觉标定飞机方向舵角位移的新方法

何森1,2, 王志斌1,2   

  1. (1.中北大学 理学院, 山西 太原 030051;2.中北大学 仪器科学与动态测试技术教育部重点实验室, 山西 太原 030051)
  • 收稿日期:2010-05-11 修回日期:2010-05-11 上线日期:2014-05-04
  • 通讯作者: 何森 E-mail:snow_coming@126.com
  • 作者简介:何森(1976—),女,讲师

A New Method for Calibration of Rudder Angular Displacement Sensor Based on Monocular Vision

HE Sen1, 2, WANG Zhi-bin1, 2   

  1. (1.College of Science, North University of China, Taiyuan 030051,Shanxi, China;2.MOE Key Laboratory of
  • Received:2010-05-11 Revised:2010-05-11 Online:2014-05-04
  • Contact: HE Sen E-mail:snow_coming@126.com

摘要: 飞机飞行试验前需标定其方向舵等的角位移传感器。采用单目视觉方法进行标定。用一个圆周做靶面的主要标志,用2直线段的交点标明其圆心位置。测试靶基本上平行于舵轴固定在舵面上。用一台位置固定的数码相机对靶面拍照。设计了亚像素精度的处理方法用来处理数字照片,求出圆心像点位置和像面椭圆的方程以及椭圆短轴端点位置。设计了一套算法用来求出靶面的平面方程。方向舵的角位移可用靶面的角位移表示。未计入相机成像误差进行的仿真实验,不加噪声时,角位移误差小于0.001°;给像面椭圆添加μ=0,σ=2像素的高斯噪声时,角位移误差小于0.06°. 靶面与舵轴不平行导致的测量误差可以修正,使测试靶容易安装。该方案可用于现场标定飞机升降舵、方向舵等的角位移。

关键词: 飞行器实验技术, 光学测量, 角位移, 单目视觉, 特征直径, 亚像素处理方法

Abstract: Before flight test, the airplane’s rudder angular displacement sensor needs to be calibrated. The calibration can be based on monocular vision. The test target’s mark is a circle with a centre indicated by the intersection of two lines. The target is fixed on the rudder face, parallel to the rudder axis, and its pictures are taken with a fixed digital-camera. The pictures can be processed by using sub-pixel processing method proposed in this paper. The image point of circle centre, the elliptic equation and its minor axis’s endpoints can be found out. Thus, the target’s plane equation can be obtained also. Then, the rudder angular displacement can be expressed by that of the target. When elliptic was added Gaussian noise with μ=0 and σ=2pixel, simulation results show that the angular displacement errors are within 0.06°. The angular displacement errors caused by the target deviation from the rudder axis can be corrected.

Key words: experimental technology of aerocraft, optical measurement, angular displacement, monocular vision, characteristic diameter, sub-pixel processing method

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