摘要
MEMS陀螺是近代发展起来的一种角速率传感器，与传统陀螺仪相比，它具有体积小、重量轻、价格便宜等特点，但其性能受环境温度的改变影响很大。本文首先通过设计数据采集系统，解决了输出中的野值问题；然后通过大量实验数据，分析了陀螺静态漂移和内部器件温度变化的关系，建立了低精度MEMS陀螺的静态温度补偿模型；然后利用小波降噪对补偿后的输出进行滤波，使得其输出精度提高了一个数量级；最后，通过在线实验验证了该方法的有效性。
MEMS gyroscope is a kind of angular rate sensor developed in recent years, which has smaller size, lighter weight and lower cost than traditional rate sensor. But temperature change largely influences the performance of MEMS gyroscope. This paper designs a data collection system to solve the outlier. According to lots of experiment data, the relation of gyroscope static state drift and inner chip temperature change is analyzed, and provides a temperature compensation model for low precision MEMS gyroscope in static state. After wavelet filtering, the results show that its bias reduces to one tenth of the original. At last, this method is proved feasible on on-line test.
关键词
MEMS陀螺
低精度
温度补偿
漂移
MEMS Gyroscope, Low Precision, Temperature Compensation, Drift.
