Research on application of MEMS gyro to servo system for E-O stabilization and tracking devices

Zhang Wen-bo; Fan Da-peng; Zhang Zhi-yong; Li Kai

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Research on application of MEMS gyro to servo system for E-O stabilization and tracking devices

Article | 更新时间：2020-08-12

- Research on application of MEMS gyro to servo system for E-O stabilization and tracking devices
- Optics and Precision Engineering Vol. 14, Issue 4, Pages: 689-696(2006)
- 作者机构：
  
  国防科技大学机电工程与自动化学院,湖南长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： V241.5
- Received：22 August 2005，
  
  Revised：18 June 2006，
  
  Published：2006
- 稿件说明：
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张文博, 范大鹏, 张智永, 李凯. 光电稳定跟踪装置中微机电陀螺应用研究[J]. 光学精密工程, 2006,14(4): 689-696

Zhang Wen-bo, Fan Da-peng, Zhang Zhi-yong, Li Kai. Research on application of MEMS gyro to servo system for E-O stabilization and tracking devices[J]. Editorial Office of Optics and Precision Engineering, 2006,14(4): 689-696
张文博, 范大鹏, 张智永, 李凯. 光电稳定跟踪装置中微机电陀螺应用研究[J]. 光学精密工程, 2006,14(4): 689-696 DOI：

Zhang Wen-bo, Fan Da-peng, Zhang Zhi-yong, Li Kai. Research on application of MEMS gyro to servo system for E-O stabilization and tracking devices[J]. Editorial Office of Optics and Precision Engineering, 2006,14(4): 689-696 DOI：

摘要

以微机电陀螺在高精度光电稳定跟踪装置中的应用为背景

研究了陀螺输出噪声对光电稳定跟踪平台精度的影响。结果表明

陀螺噪声会引起平台基准轴的抖动和缓慢漂移。根据微机电陀螺的实测数据

分析了其噪声特性。基于AR模型建立了微机电陀螺的噪声统计模型。研究了基于Kalman滤波的陀螺去噪算法

给出了去噪结果

分析了该算法不能够取得较好滤波效果的原因。针对Kalman滤波在微机电陀螺信号低频去噪方面的局限性

将基于阈值决策的小波去噪方法应用于微机电陀螺的信号处理中

给出了滤波结果。实测结果表明由于后者不依赖于噪声的精确模型

可根据噪声在不同频段的统计特性采用阈值决策滤波

具有更好的抑噪效果。最后给出了两种滤波算法的比较。

Abstract

Aiming at the MEMS gyros used widely in the high accuracy electro-optical (E-O) stabilization and tracking devices

the impact of gyro noise on the E-O platform precision was studied. The analyzing result indicates that the gyro noise would cause the jitter of the Line of Sight (LOS) and slow drift on angle. Therefore

it is necessary to propose an effective filter method for restraining the gyro noise to obtain higher LOS stabilization precision. In this paper

the noise features were analyzed and the AR model of MEMS gyros was developed. By the Kalman filter method to denoise the signal of gyros primarily

the simulation results show that this method couldnt achieve good performance. Following that

the threshold filter method according to the wavelet was researched

and the simulation data reveal its perfect performance on the denoising. Finally

the comparisons on relative merits between these two denoise methods were given.

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references

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