[1]张印强,吉训生,王寿荣.硅微阵列陀螺仪的信号滤波技术[J].东南大学学报(自然科学版),2013,43(6):1222-1226.[doi:10.3969/j.issn.1001-0505.2013.06.017]
 Zhang Yinqiang,Ji Xunsheng,Wang Shourong.Signal filtering method of silicon micro-gyroscope array[J].Journal of Southeast University (Natural Science Edition),2013,43(6):1222-1226.[doi:10.3969/j.issn.1001-0505.2013.06.017]
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硅微阵列陀螺仪的信号滤波技术()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
43
期数:
2013年第6期
页码:
1222-1226
栏目:
其他
出版日期:
2013-11-20

文章信息/Info

Title:
Signal filtering method of silicon micro-gyroscope array
作者:
张印强12吉训生3王寿荣1
1东南大学微惯性仪表与先进导航技术教育部重点实验室, 南京210096; 2南京工业大学自动化与电气工程学院, 南京210009; 3江南大学通信与控制工程学院, 无锡214122
Author(s):
Zhang Yinqiang12 Ji Xunsheng3 Wang Shourong1
1Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology of Ministry of Education, Southeast University, Nanjing 210096, China
2College of Automation and Electronic Engineering, Nanjing University of Technology, Nanjing 210009, China
3School of Communication and Control Engineering, Jiangnan University, Wuxi 214122, China
关键词:
硅微阵列陀螺仪 Allan方差 粒子滤波 数据融合
Keywords:
silicon micro-gyroscope array Allan variance particle filter data fusion
分类号:
V241.5
DOI:
10.3969/j.issn.1001-0505.2013.06.017
摘要:
为了提高硅微陀螺仪的性能,基于四质量块结构形式,设计了一种全新的单芯片集成硅微阵列陀螺仪.根据Allan方差分析方法对漂移信号进行了研究,建立了系统的随机误差模型.利用冗余检测技术、信号差分技术、目标动态跟踪技术和粒子滤波算法构建了系统的两级动态滤波器,分析了系统的状态方程和观测方程,并对测量信号进行了滤波研究.实验结果表明:根据该动态滤波器模型,对于转动角速度为50(°)/s的动态滤波实验,原始信号的标准差由0.481 0(°)/s减小为0.214 9(°)/s,动态测量信号的信噪比得到了有效提高,而经过动态滤波后的漂移信号的零偏不稳定性与原始漂移信号相比提高了2.54倍.
Abstract:
Based on the quad-cell structure, a novel single chip integrated silicon micro-gyroscope array(SMGA)is designed for improving the performance of the silicon gyroscope. The Allan variance method is used to evaluate the noise characteristic and the error model of the drift signal. By using the redundant detecting technique, signal difference technique, maneuverable tracking method of the target and particle filter algorithm, the two-level dynamic filter is built. The state equation and the observation equation of the system are analyzed and the measurement signals are filtered. The results show that in the dynamic filtering test with a 50(°)/s constant rotate rate, the standard deviation of the original signal is decreased from 0.481 0(°)/s to 0.214 9(°)/s and the noise-signal ratio is improved effectively according to the dynamic filter model. Then, after using the dynamic filter algorithm, the bias stability can be improved 2.54 times compared with that of the original drift signal.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 张印强(1978—),男,博士生;王寿荣(联系人),男,博士,教授,博士生导师, srwang@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(60974116, 61104217,U1230114)、江苏省高校自然科学研究资助项目(12KJD460003).
引文格式: 张印强,吉训生,王寿荣.硅微阵列陀螺仪的信号滤波技术[J].东南大学学报:自然科学版,2013,43(6):1222-1226. [doi:10.3969/j.issn.1001-0505.2013.06.017]
更新日期/Last Update: 2013-11-20