Drag coefficient identification of high-spinning projectile using cubature Kalman filter

In order to obtain the aerodynamic parameters of a high-spinning projectile, a new parameter identification method is proposed based on the Cubature Kalman Filter (CKF). First of all, the motion equation of the spinning stabilized projectile is established by the 4D trajectory model. Second, unknown...

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Bibliographic Details
Published inAIP advances Vol. 11; no. 3; pp. 035025 - 035025-6
Main Authors Zheng, Yucheng, Guan, Jun, Yi, Wenjun
Format Journal Article
LanguageEnglish
Published Melville American Institute of Physics 01.03.2021
AIP Publishing LLC
Subjects
Drag coefficients
Equations of motion
Extended Kalman filter
Identification methods
Parameter identification
Projectiles
State vectors
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Summary:In order to obtain the aerodynamic parameters of a high-spinning projectile, a new parameter identification method is proposed based on the Cubature Kalman Filter (CKF). First of all, the motion equation of the spinning stabilized projectile is established by the 4D trajectory model. Second, unknown parameters are added to the state vector to obtain the augmented state vector. Next, a new filter is designed for the identification of the unknown parameters based on the basic theory of the CKF. Finally, the simulation results of the CKF are compared with those of the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF). The results of comparison show that the CKF method can effectively identify the aerodynamic parameters and the identification error is less than 1.2%. The CKF method has greater accuracy than the EKF and the UKF.
ISSN:2158-3226
2158-3226
DOI:10.1063/5.0043224