一种改进的加速度传感器数据预处理方法  

An Improved Data Preprocessing Method for Accelerometer

作　　者：张鹏[1,2] 高放[1,2] 阚宏林[3] 双丰[1,2,3] 

机构地区：[1]中国科学院合肥智能机械研究所,安徽合肥230031 [2]中国科学技术大学合肥物质研究院,安徽合肥230026 [3]安徽工程大学机械与汽车工程学院,安徽芜湖241000

出　　处：《仪表技术》2017年第6期16-18,40,共4页Instrumentation Technology

基　　金：国家自然科学基金资助项目(61473272;61501431;61673369)

摘　　要：以微机电系统(MEMS)加速度传感器为研究对象,根据其工作原理与误差模型设计了信号采集与处理的软硬件平台。基于此平台,采用六面校准法对数据进行初始误差修正,并采用加权的滑动平均滤波方法对数据进行实时平滑处理,有效地消除了加速度计零点偏差与增益偏差。该方法实现简单,且能兼顾数据的平滑效果与响应速度。Based on the operating principle and error models of the MEMS accelerometer MPU6000, the hardware and software platforms of the signal acquisition and data processing were designed. On the platforms, the initial error correction of the data was carried out with the six-side calibration method, and then the data were smoothed with the weighted moving average filtering method, which could effectively eliminate the accelerometer zero-point errors and gain deviations. The methods are simple, and they could balance the data smoothing effect and the response speed.

关 键 词：加速度传感器 加权滑动平均 六面校准 数据预处理 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]