Optimization Research on Thermal Error Compensation of FOG in Deep Mining Using Uniform Mixed-Data Design Method

Suffered from the unsatisfied time consumption of thermal error compensation, this paper aims to realize a faster and more accurate fibre optic gyroscope (FOG) thermal error compensation plan, so that the deep-hole inclinometer using in mining which is based on FOG will make accurate measurement under external thermal field. Using uniform mixed-data design method, it is learned that the temperature compensation experiments only consumed 1/9 the time required for traditional method within the working condition range of 0~120°C. Suffice it to say that our method can markedly enhance the efficiency of FOG temperature compensation. To this end, the finite-element method (FEM) was also applied to explore the thermal conductivity and simulate the complex boundary conditions of the FOG. Then, the Shupe error of the FOG was calculated and used to derive the FOG error compensation formula, and the factors and their levels affecting the Shupe error in thermal field were considered in error compensation experiments. After that, the optimal design of FOG thermal error compensation experiments was created by FOG error compensation formula and uniform mixed-data design table, and this plan significantly reduced the number of experiments compared to before. Finally, the design was compared with the full-scale design and orthogonal design to verify its accuracy and efficiency. The comparison shows that the proposed method can markedly enhance the efficiency of FOG error compensation and elevate the measuring accuracy of FOG. This paper innovatively applies the uniform mixed-data design method to the field of FOG measurement, and this research offers new insights into the error compensation optimization of FOG measurement.

[1]  Importance of the consideration of the specificities of local plastic deformation on the response of porous solids with Tresca matrix , 2014 .

[2]  O. Smetannikov,et al.  Study of the thermomechanical behavior of the interface module of a fiber-optic gyroscope , 2014 .

[3]  Morton Lowengrub,et al.  Some Basic Problems of the Mathematical Theory of Elasticity. , 1967 .

[4]  F. Mohr,et al.  Thermooptically induced bias drift in fiber optical Sagnac interferometers , 1996 .

[5]  M Raab,et al.  Two-color Brillouin ring laser gyro with gyro-compassing capability. , 1994, Optics letters.

[6]  Tavio Tavio,et al.  Predicting Nonlinear Behavior and Stress-Strain Relationship of Rectangular Confined Reinforced Concrete Columns with ANSYS , 2009 .

[7]  S. Kothandaraman,et al.  Study on Non-Linear Flexural Behavior of Reinforced Concrete Beams Using ANSYS by Discrete Reinforcement Modeling , 2013, Strength of Materials.

[8]  Fang Jiancheng,et al.  Dynamic angular velocity modeling and error compensation of one-fiber fiber optic gyroscope (OFFOG) in the whole temperature range , 2012 .

[9]  A. V. Sokolov,et al.  Development of a gyro stabilization system with fiber-optic gyroscopes for an air-sea gravimeter , 2015 .

[10]  Simon Haykin,et al.  Neural Networks and Learning Machines , 2010 .

[11]  S. Ahmad,et al.  Integration of GIS and Artificial Neural Network for prediction of Ozone Concentration in Semi-rural , 2012 .

[12]  Yanmei Meng,et al.  Research on the orthogonal experiment of numeric simulation of macromolecule-cleaning element for sugarcane harvester , 2009 .

[13]  Ehud Rivlin,et al.  Error analysis for a navigation algorithm based on optical-flow and a digital terrain map , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[14]  Jie Wang,et al.  Temperature Field Finite Element Analysis of the Ultra-high Temperature Borehole Inclinometer based on FOG and Its Optimization Design , 2016 .

[15]  C. Wahl-Schott,et al.  Hyperpolarization-activated cation channels: from genes to function. , 2009, Physiological reviews.

[16]  Friedemann Mohr,et al.  Bias error in fiber optic gyroscopes due to elasto-optic interactions in the sensor fiber , 2004, European Workshop on Optical Fibre Sensors.

[17]  The determined chaos in disturbed by temperature dynamic systems with gyros , 2003, 2003 IEEE International Workshop on Workload Characterization (IEEE Cat. No.03EX775).