Temperature drift modeling and compensation of micro-electro-mechanical system gyroscope based on improved support vector machine algorithms

被引：0

作者：

Wang, Xinwang ^{[1
]}

Cao, Huiliang ^{[2
]}

机构：

[1] Southeast Univ, Sch Instrument Sci & Engn, Nanjing, Peoples R China

[2] North Univ China, Sci & Technol Elect Test & Measurement Lab, Taiyuan 030051, Shanxi, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2020年 / 16卷 / 03期

基金：

山西省青年科学基金; 中国国家自然科学基金;

关键词：

Micro-electro-mechanical system gyroscope; support vector machine; C-means support vector machine; temperature drift; Allan variance;

D O I：

10.1177/1550147720908195

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article suggested two methods to compensate for the temperature drift of the micro-electro-mechanical system gyroscopes, which are support vector machine method and C-means support vector machine. The output of X axis which was ranged from -40 degrees C to 60 degrees C based on the micro-electro-mechanical system gyroscope is reduced and analyzed in this article. The results showed the correctness of the two methods. The final results indicate that when the temperature is ranged from -40 degrees C to 60 degrees C, the factor of B is reduced from 0.424 (degrees h) to 0.02194 (degrees h), and when the temperature is ranged from 60 degrees C to -40 degrees C, the factor of B is reduced from 0.1056 (degrees h) to 0.0329 (degrees h), and the temperature drift trend and noise characteristics are improved clearly.

引用

页数：11

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