MEMS Gyroscope Null Drift and Compensation Based on Neural Network

Abstract:

This study investigates the effects of temperature on micro-electro mechanical system (MEMS) gyroscope null drift and methods and efficiency of temperature compensation. First, this study uses in-house-designed inertial measurement units (IMUs) to perform temperature effect testing. The inertial measurement unit is placed into the temperature control chamber. Then, the temperature is gradually increased from 25 °C to 80 °C at approximately 0.8 degrees per minute. After that, the temperature is decreased to -40 °C and then returning to 25 °C. During these temperature variations, the temperature and static gyroscope output observes the gyroscope null drift phenomenon. The results clearly demonstrate the effects of temperature on gyroscope null voltage. A temperature calibration mechanism is established by using a neural network model. With the temperature calibration, the attitude computation problem due to gyro drifts can be improved significantly.

• Periodical: Advanced Materials Research (Volumes 255-260)
• Pages: 2077-2081
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.255-260.2077
• Online since: May 2011
• Authors: Jaw Kuen Shiau, Der Ming Ma, Chen Xuan Huang, Ming Yu Chang
• Keywords: Gyroscope Null Drift, Neural Network (NN), Temperature Compensation

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