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

Xinwang Wang and Huiliang Cao

International Journal of Distributed Sensor Networks, 2020, vol. 16, issue 3, 1550147720908195

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.

Keywords: Micro-electro-mechanical system gyroscope; support vector machine; C-means support vector machine; temperature drift; Allan variance (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:16:y:2020:i:3:p:1550147720908195

DOI: 10.1177/1550147720908195

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