Method for Improving Mass Property Measurement Accuracy of Large-size Projectiles

doi:10.3969/j.issn.1000-1093.2014.01.016

Abstract

Abstract: In order to increase the mass property measurement accuracy of the large-size projectile, the calibration methods of measured pose are investigated. A kinematics model for measurement system is established, and the influence of measured pose errors on measuring results are analyzed. A method and process of calibration based on the kinematics are introduced, and the calibration parameters are analyzed and classified. A calibration method using neural networks is provided. Experimental results indicate that the Kinematics method is used to reduce the errors of CG, MOI and POI to 10%, 90% and 23%, respectively, before calibration. The combination method of neural networks and kinematics is used to reduce the errors of CG, MOI and POI to 7%, 45% and 25%, respectively, before calibration.

Key words: technology of instrument and meter, mass property, poses, measurement accuracy, kinematics, neural network

CLC Number:

TJ76

WANG Chao， ZHANG Xiao-lin， TANG Wen-yan， WANG Jun， MA Qiang. Method for Improving Mass Property Measurement Accuracy of Large-size Projectiles[J]. Acta Armamentarii, 2014, 35(1): 108-113.

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