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Sensors 2015, 15(5), 11189-11207; doi:10.3390/s150511189

Modification of an RBF ANN-Based Temperature Compensation Model of Interferometric Fiber Optical Gyroscopes

Marine Navigation Research Institute, College of Automation, Harbin Engineering University, Harbin 150001, China
LASSENA Laboratory, École de Technologie Superieure, 1100 Notre-Dame Street West, Montreal, QC H3C 1K3, Canada
Department of Biomedical Engineering and Computational Science, School of Science, Aalto University, Espoo 02150, Finland
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 3 March 2015 / Revised: 7 May 2015 / Accepted: 7 May 2015 / Published: 13 May 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [3469 KB, uploaded 13 May 2015]   |  


This paper presents modification of Radial Basis Function Artificial Neural Network (RBF ANN)-based temperature compensation models for Interferometric Fiber Optical Gyroscopes (IFOGs). Based on the mathematical expression of IFOG output, three temperature relevant terms are extracted, which include: (1) temperature of fiber loops; (2) temperature variation of fiber loops; (3) temperature product term of fiber loops. Then, the input-modified RBF ANN-based temperature compensation scheme is established, in which temperature relevant terms are transferred to train the RBF ANN. Experimental temperature tests are conducted and sufficient data are collected and post-processed to form the novel RBF ANN. Finally, we apply the modified RBF ANN based on temperature compensation model in two IFOGs with temperature compensation capabilities. The experimental results show the proposed temperature compensation model could efficiently reduce the influence of environment temperature on the output of IFOG, and exhibit a better temperature compensation performance than conventional scheme without proposed improvements. View Full-Text
Keywords: IFOG; temperature compensation; temperature product term; RBF ANN; MSD IFOG; temperature compensation; temperature product term; RBF ANN; MSD

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cheng, J.; Qi, B.; Chen, D.; Jr. Landry, R. Modification of an RBF ANN-Based Temperature Compensation Model of Interferometric Fiber Optical Gyroscopes. Sensors 2015, 15, 11189-11207.

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