Method for improving mass property measurement accuracy of large-size projectiles

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.