[1] Xia Dunzhu, Wang Shourong, Zhou Bailing,. Temperature compensation method of silicon microgyroscopebased on BP neural network [J]. Journal of Southeast University (English Edition), 2010, 26 (1): 58-61. [doi:10.3969/j.issn.1003-7985.2010.01012]

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Temperature compensation method of silicon microgyroscopebased on BP neural network()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

26

Issue:

2010 1

Page:

58-61

Research Field:

Instrument Science and Technology

Publishing date:

2010-03-30

Info

Title:

Temperature compensation method of silicon microgyroscopebased on BP neural network

Author(s):

Xia Dunzhu;  Wang Shourong;  Zhou Bailing

Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology of Ministry of Education, Southeast University, Nanjing 210096, China

Keywords:

silicon microgyroscope;  temperature characteristic;  error back propagation neural network;  temperature compensation

PACS:

U666.112

DOI:

10.3969/j.issn.1003-7985.2010.01012

Abstract:

The temperature characteristics of a silicon microgyroscope are studied, and the temperature compensation method of the silicon microgyroscope is proposed. First, an open-loop circuit is adopted to test the entire microgyroscope’s resonant frequency and quality factor variations over temperature, and the zero bias changing trend over temperature is measured via a closed-loop circuit. Then, in order to alleviate the temperature effects on the performance of the microgyroscope, a kind of temperature compensated method based on the error back propagation(BP)neural network is proposed. By the Matlab simulation, the optimal temperature compensation model based on the BP neural network is well trained after four steps, and the objective error of the microgyroscope’s zero bias can achieve 0.001 in full temperature range. By the experiment, the real time operation results of the compensation method demonstrate that the maximum zero bias of the microgyroscope can be decreased from 12.43 to 0.75(°)/s after compensation when the ambient temperature varies from -40 to 80 ℃, which greatly improves the zero bias stability performance of the microgyroscope.

References:

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[5] Wyatt O D. Mechanical analysis and design of vibratory micromachined gyroscopes [D]. Berkeley, CA, USA: School of Mechanical Engineering of University of California at Berkeley, 2001.
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[7] Fang Jiancheng, Li Jianli, Sheng Wei. Improved temperature error model of silicon MEMS gyroscope with inside frame driving [J]. J Beijing Univ Aerona Astronaut, 2006, 32(11): 1277-1280.(in Chinese)
[8] Shcheglov K, Evans C, Gutierrez R, et al. Temperature dependent characteristics of the JPL silicon MEMS gyroscope [C]//Proceedings of the IEEE Aerospace Conference. Big Sky, MT, USA, 2000: 403-411.

Memo

Memo:

Biography: Xia Dunzhu(1978—), male, doctor, xiadz_-1999@163.com.
Foundation items: The National High Technology Research and Development Program of China(863 Program)(No.2002AA812038), the National Natural Science Foundation of China(No.60974116).
Citation: Xia Dunzhu, Wang Shourong, Zhou Bailing. Temperature compensation method of silicon microgyroscope based on BP neural network[J]. Journal of Southeast University(English Edition), 2010, 26(1): 58-61.

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