MEMS Gyroscope Null Drift and Compensation Based on Neural Network

doi:10.4028/www.scientific.net/AMR.255-260.2077

機構典藏 > College of Engineering > Graduate Institute & Department of Aerospace Engineering > Journal Article > Item 987654321/54989

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/54989

Title:	MEMS Gyroscope Null Drift and Compensation Based on Neural Network
Authors:	Shiau, Jaw-Kuen;Ma, Der-Ming;Huang, Chen-Xuan;Chang, Ming-Yu
Contributors:	淡江大學航空太空工程學系
Keywords:	Gyroscope Null Drift;Neural Network (NN);Temperature Compensation
Date:	2011-05
Issue Date:	2013-03-20 16:29:17 (UTC+8)
Publisher:	Stafa-Zurich: Trans Tech Publications Ltd.
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 oC to 80 oC at approximately 0.8 degrees per minute. After that, the temperature is decreased to -40 oC and then returning to 25 oC. 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.
Relation:	Advanced Materials Research 255-260, pp.2077-2081
DOI:	10.4028/www.scientific.net/AMR.255-260.2077
Appears in Collections:	[Graduate Institute & Department of Aerospace Engineering] Journal Article

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