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Temperature Compensation for Mechanically Dithered RLG Bias Based on K-Means Clustering
Abstract:
The temperature characteristic of mechanically dithered ring laser gyroscope (RLG) has been studied, based on temperature experiment. Using the method of clustering, analyzed the output of the temperature sensor. Finally, the segmented data was compensated, and the result was compared with that of full temperature data compensation. The results show that: the model of full temperature data compensation method is incomplete. There is still much room for improvement. In this paper, the segmented data compensation model by using clustering analysis method can compensate the gyro bias, improve the gyro accuracy.
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147-150
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September 2013
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© 2013 Trans Tech Publications Ltd. All Rights Reserved
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