NDLI: Research on the application and compensation for startup process of FOG based on RBF neural network

Content Provider	IEEE Xplore Digital Library
Author	Shen Jun Miao Lingjuan Guo Ziwei
Copyright Year	2012
Description	Author affiliation: School of Automation, Beijing Institute of Technology, China (Shen Jun; Miao Lingjuan; Guo Ziwei)
Abstract	As the core components of Fiber Optic Gyroscope (FOG) are sensitive to temperature, there is a certain temperature drift error in the working process of FOG. In particular, during the period from supplying power to achieving the nominal precision, the temperature drift of FOG is much higher. In this paper, for reducing the drift in the startup process of FOG and shortening the time of FOG startup, a scheme based on Radial Basis Function (RBF) neural networks is designed to compensate the drift in the startup process of FOG. The RBF neural network use the two inputs and single output scheme that use the temperature of FOG and the temperature change rate as the inputs and use the drift of FOG as the output. In the room temperature, the RBF neural network is used to compensate for the startup process of FOG, and the results show that the method can effectively reduce the drift and startup time of the FOG. This method is used in a certain type of FOG North Finder and can greatly reduce the North Finder preparation time and improve the north-seeking accuracy.
Starting Page	3195
Ending Page	3199
File Size	380877
Page Count	5
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6358423
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Temperature sensors Automation Process control Optical fibers Gyroscopes Temperature control orthogonal least square (OLS) FOG startup process RBF neural compensation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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