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 gyroscopeand 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.
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