Search

Abstract The projectile dynamics model is non-linear system. The specifications of projectile used are 12.7 x 99 mm caliber. In the projectile motion, to achieve the target can be estimated by using some estimation methods. In this study, the estimation of 12.7 x 99 mm caliber projectile motion is computed by using Unscented Kalman Filter (UKF) method. In this simulation, we estimate model of the system by measuring each variables position. The estimation results show the performance of UKF and KF in non-linear systems is different, based on their respective characteristics. The final result of this study shows that the error estimation of UKF is 81 % smaller in x -position, 85 % smaller in h -position and ν-position, 84 % smaller in γ-position. UKF performance is very good for non-linear system and the approach with KF algorithm has less optimal result. [ABSTRACT FROM AUTHOR]

Abstract Projectiles are solid projectiles fired from firearms or air rifles, made of metal, generally from lead. The caliber of the projectile is 12.7 x 99 mm. In the projectile motion, to achieve the target, we need to estimate the motion by using some estimation methods. In this paper, the estimation of projectile of caliber 12.7 x 99 mm motion is using Ensemble Kalman Filter (EnKF) method. In simulations, we compare EnKF and KF method. The projectile dynamics model is a non-linear system. The EnKF method can be applied for the non-linear system and KF method for the nonlinear system is approximated to the linearized model before applying the KF algorithm. The final result of this paper shows that Ensemble Kalman Filter (EnKF) is better to estimate the model of projectile motion with the error estimation of EnKF is 23.5% smaller in x -position, 58.8% smaller in h -position, 16.2 % smaller in ν-position, 77.8 % smaller in angle and the computation of time is 3.85 % faster than the estimation results using KF method. [ABSTRACT FROM AUTHOR]

Abstract A Projectile is a shot object which fired from firearms or air rifles. There are various sizes of projectile. One of them is 12.7 x 99 mm caliber projectile. The higher speed of 12.7 x 99 mm caliber projectile makes the less accurate, it is for the shot to hit the right target. It is necessary to estimate that the projectile reaches the right target. The projectile movements are modelled by three degrees of freedom (3-DOF) and have a non-linear equation. So the estimation used is The Extended Kalman Filter, but it would be combined with Kalman Filter Method. Measurement data is assumed to be linier. And we have all data measurement of projectile motion. The estimation results are simulated with Matlab. The final result of these studies show that Extended Kalman Filter has small error than Kalman Filter with error estimation of EKF is 92.02% smaller in the x-position, 97.38% smaller in the z-position, 94.99% smaller in velocity projectile, and 95.45% smaller in gamma angle and the computational time is 0.925% faster than KF method. [ABSTRACT FROM AUTHOR]