微纳卫星陀螺阵列系统信息融合

陈雯雯; 刘洋; 高海云; 孙国文; 李昭; 康宝鹏

doi:10.3788/OPE.20192701.0172

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微纳卫星陀螺阵列系统信息融合

微纳技术与精密机械 | 更新时间：2020-08-13

- 微纳卫星陀螺阵列系统信息融合
- Signal fusion of silicon micro-gyroscope array of micro/nano-sate
- 光学精密工程 2019年27卷第1期页码：172-180
- 作者机构：
  
  上海微小卫星工程中心微纳卫星研究所，上海 201203
- 作者简介：
  
  [ "陈雯雯(1985-)，女，山东淄博人，博士，副研究员，2010年、2013年于上海交通大学获得分别获得硕士、博士学位，现为上海微小卫星工程中心微纳卫星研究所主任设计师，主要从事精密仪器设计、测试方法的研究。E-mail:color-1234@163.com" ]
- 基金信息：
  
  中科院国防科技创新实验室基金(Y623321261)
- DOI：10.3788/OPE.20192701.0172
  中图分类号： TP394.1; TH691.9
- 收稿日期：2018-07-14，
  
  录用日期：2018-9-6，
  
  纸质出版日期：2019-01-15
- 稿件说明：
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陈雯雯, 刘洋, 高海云, 等. 微纳卫星陀螺阵列系统信息融合[J]. 光学精密工程, 2019,27(1):172-180.

Wen-wen CHEN, Yang LIU, Hai-Yun GAO, et al. Signal fusion of silicon micro-gyroscope array of micro/nano-sate[J]. Optics and precision engineering, 2019, 27(1): 172-180.
陈雯雯, 刘洋, 高海云, 等. 微纳卫星陀螺阵列系统信息融合[J]. 光学精密工程, 2019,27(1):172-180. DOI： 10.3788/OPE.20192701.0172.

Wen-wen CHEN, Yang LIU, Hai-Yun GAO, et al. Signal fusion of silicon micro-gyroscope array of micro/nano-sate[J]. Optics and precision engineering, 2019, 27(1): 172-180. DOI： 10.3788/OPE.20192701.0172.

摘要

为了实现微纳卫星MEMS陀螺动态在线滤波，对MEMS陀螺阵列建模，设计可应用于动态过程的最优在线数据融合算法，建立陀螺阵列测试系统，并对融合滤波的陀螺系统的性能对比分析。首先，建立多个陀螺的量测模型。接着基于信息融合模型，使用Kalman滤波算法，对预测的协方差矩阵进无求逆运算迭代；然后，基于误差估计，对动态时变信号滤波模型建模，并给出了融合滤波方法；最后，搭建6个MEMS陀螺在线滤波系统，验证该算法的有效性。实验结果表明：滤波误差可降低为单陀螺采样误差的1/15，精度提高一个数量级；运算量相比层序式滤波减少为1/4，计算时间减少为1/3。本文所提算法在提高精度的基础上，显著提高了MEMS陀螺系统的性能指标，拓展了MEMS陀螺在微纳卫星的应用范围。

Abstract

A model was established and an optimal data fusion algorithm was designed to realize the online dynamic data fusion of multi-gyroscopes. The data fusion system performance was compared by building a test system. First

a multi-gyros measurement model was established

then the Kalman method was used to estimate the covariance matrix based on the signal fusion model. There was no matrix inversion during this process. The filtering process

applicable to time varying signals

was utilized. Finally

the effectiveness of the algorithm was verified by an online test system using six MEMS gyros. Experimental results indicate that the signal error is reduced to 1/15. In addition

the accuracy is improved one level and reduced to 1/4

and the computation is reduced to 1/3. A system with this new signal fusion algorithm will show improved accuracy and performance

extending the application range of the micro-nano satellite.

关键词

Keywords

references

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