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Correction: Tang, C. Y. and Chen, X.Y. A Class of Coning Algorithms Based on a Half-Compressed Structure. Sensors 2014, 14, 14289–14301
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Sensors 2015, 15(3), 4899-4912; doi:10.3390/s150304899

A New Open-Loop Fiber Optic Gyro Error Compensation Method Based on Angular Velocity Error Modeling

1
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
2
School of Automation, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Francesco De Leonardis
Received: 11 October 2014 / Revised: 21 January 2015 / Accepted: 6 February 2015 / Published: 27 February 2015
(This article belongs to the Special Issue Optical Gyroscopes and Navigation Systems)
View Full-Text   |   Download PDF [1033 KB, uploaded 27 February 2015]   |  

Abstract

With the open-loop fiber optic gyro (OFOG) model, output voltage and angular velocity can effectively compensate OFOG errors. However, the model cannot reflect the characteristics of OFOG errors well when it comes to pretty large dynamic angular velocities. This paper puts forward a modeling scheme with OFOG output voltage and temperature as the input variables and angular velocity error as the output variable. Firstly, the angular velocity error is extracted from OFOG output signals, and then the output voltage , temperature and angular velocity error are used as the learning samples to train a Radial-Basis-Function (RBF) neural network model. Then the nonlinear mapping model over T, and is established and thus can be calculated automatically to compensate OFOG errors according to and . The results of the experiments show that the established model can be used to compensate the nonlinear OFOG errors. The maximum, the minimum and the mean square error of OFOG angular velocity are decreased by , and relative to their initial values, respectively. Compared with the direct modeling of gyro angular velocity, which we researched before, the experimental results of the compensating method proposed in this paper are further reduced by , and , respectively, so the performance of this method is better than that of the direct modeling for gyro angular velocity. View Full-Text
Keywords: open-loop fiber optic gyro; angular velocity error; RBF neural network open-loop fiber optic gyro; angular velocity error; RBF neural network
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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Zhang, Y.; Guo, Y.; Li, C.; Wang, Y.; Wang, Z. A New Open-Loop Fiber Optic Gyro Error Compensation Method Based on Angular Velocity Error Modeling. Sensors 2015, 15, 4899-4912.

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