Temperature drift modeling and compensation of micro-electro-mechanical system gyroscope based on improved support vector machine algorithms. (March 2020)

• Record Type: Journal Article
• Authors: Wang, Xinwang; Cao, Huiliang
• Is Part Of: International journal of distributed sensor networks. Volume 16:Number 3(2020)
• Publication Date: 2020-03
• Subjects: Micro-electro-mechanical system gyroscope -- support vector machine -- C-means support vector machine -- temperature drift -- Allan variance; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147720908195
• Languages: English
• ISSNs: 1550-1329

Abstract

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°C to 60°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°C to 60°C, the factor of B is reduced from 0.424 ( ° h ) to 0.02194 ( ° h ), and when the temperature is ranged from 60°C to −40°C, the factor of B is reduced from 0.1056( ° h ) to 0.0329( ° h ), and the temperature drift trend and noise characteristics are improved clearly.