Title :
Gyro Online Correction Method Based on Kalman Filter and Polynomial Fitting
Author :
Huagao; Zunwang;Liang Zhang
Author_Institution :
Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China
Abstract :
In aircraft ground physical simulation experiment, due to the continuous working battery voltage possibly drop, causing supply voltage of gyroscope sensor is not stable, affect the gyroscope performance. Kalman filtering technology is used to solve the problem of gyro output constant drift, polynomial fitting method is adopted to establish the gyro Angle compensation model to improve the test precision. A MEMS gyro is applied in the gyro system, and the experiment system software is designed by virtual instrument technology. Software system features include data acquisition and processing, database management and data analysis. Then the experimental verification is implemented on single axis air-floating table. After one hour of experiment, the result shows that, the gyro system is capable to operate under less supply voltage condition, and the average error of gyroscope after correction is reduced from 1472.778° to 0.102°, indicating that accuracy of gyroscope and reliability and robustness of system is improved simultaneously.
Keywords :
"Gyroscopes","Calibration","Kalman filters","Data models","Instruments","Fitting"
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
DOI :
10.1109/IMCCC.2015.246