基于FPGA的阵列式MEMS惯性测量单元的采集系统设计  

Design of inertial sensor arrays data acquisition system based on FPGA

作　　者：张磊[1] 曹乐 阚秀[1] 张夏丰 魏德轩 ZHANG Lei;CAO Le;KAN Xiu;ZHANG Xiafeng;WEI Dexuan(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Digital Space Technology R&D Center,Southeast Digital Economic Development Institute,Quzhou,Zhejiang 324000,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620 [2]东南数字经济发展研究院,浙江衢州324000

出　　处：《导航定位学报》2022年第3期123-129,共7页Journal of Navigation and Positioning

基　　金：国家自然科学基金项目(61703270)。

摘　　要：针对阵列式微机电系统(MEMS)惯性测量单元数据采集需要实时性、高精度和高同步性问题,选取ICM20602六轴MEMS惯性测量单元构建阵列式惯性测量单元。采用基于现场可编程门阵列(FPGA)的同步并发方法实现同步数据采集,结合均值融合算法有效降低系统噪声水平,并使用阿伦方差进行随机误差辨识。实验结果表明,该系统实现了稳定可靠的阵列式MEMS惯性测量单元数据采集,能够显著降低随机误差的影响,为低成本惯性导航系统提供一种有效设计方案。Aiming at the problem of high real-time and high performance synchronization of the data acquisition of array Microelectromechanical Systems(MEMS)Inertial Measurement Unit(IMU),this paper selects ICM20602 six-axis MEMS-IMU as the inertial measurement unit.Moreover,the Allan variance is used to identify the random error of IMU.Experimental results indicate that the system achieves a stable and reliable task of MEMS-IMU Arrays data acquisition while reduces the impact of the random errors significantly,which provide an effective design scheme for low-cost inertial navigation system.

关 键 词：微机电系统 惯性测量单元 现场可编程门阵列 均值融合 数据采集 阿伦方差 

分 类 号：P228[天文地球—大地测量学与测量工程]