DocumentCode :
682007
Title :
A deep-sea drilling rig MEMS gyroscope random drift error correction method
Author :
Hongqiang Huo ; Jingbiao Liu ; Wenyu Cai ; Yixuan Gao
Author_Institution :
Sch. of Electron. & Inf., HangZhou Dianzi Univ., Hangzhou, China
fYear :
2013
fDate :
23-27 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
The deep-sea drilling rigs usually work in a complex waters and magnetic field environment and their attitude detection systems generally use a gyroscope to determine the output of the yaw angle. Deepwater rigs in seawater attitude detection and analysis of the characteristics of the MEMS gyroscope random drift come to a result that reducing the MEMS gyroscope random drift error is an important method to improve the precision of gyroscope and and it establishes a MEMS gyroscope random drift error model for MEMS gyroscope initial measurement data pre-processing and gives the random drift fitting valuation and compensation method to improve the accuracy of the gyroscope within a certain time.With OpenGL 3D controlling corrected detection, we can clearly see the effectiveness of the method after calibration.
Keywords :
curve fitting; gyroscopes; micromechanical devices; oil drilling; MEMS gyroscope; OpenGL 3D; attitude detection systems; calibration; deep-sea drilling rig; deepwater rigs; magnetic field environment; nonlinear curve fitting; random drift error correction method; random drift fitting compensation method; random drift fitting valuation; seawater attitude detection; Accuracy; Attitude control; Autoregressive processes; Fitting; Gyroscopes; Instruments; Micromechanical devices; OpenGL; Yaw; angle; deep-sea; drilling; error; gyroscope; rig;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Oceans - San Diego, 2013
Conference_Location :
San Diego, CA
Type :
conf
Filename :
6741303
Link To Document :
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