Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering

The article establishes a seven-degree-of-freedom projectile trajectory model for a new type of spinning projectile. Based on this model, a numerical analysis is performed on the ballistic characteristics of the projectile, and the trajectory of the dual-spinning projectile is filtered with the unsc...

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Main Authors: Jun Guan, Wenjun Yi
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2018/1795158
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spelling doaj-31dae0b1ac6d4fbe97278fafb1a8ad692020-11-24T23:49:55ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/17951581795158Modeling of Dual-Spinning Projectile with Canard and Trajectory FilteringJun Guan0Wenjun Yi1National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, ChinaNational Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, ChinaThe article establishes a seven-degree-of-freedom projectile trajectory model for a new type of spinning projectile. Based on this model, a numerical analysis is performed on the ballistic characteristics of the projectile, and the trajectory of the dual-spinning projectile is filtered with the unscented Kalman filter algorithm, so that the measurement information of projectile onboard equipment is more accurate and more reliable measurement data are provided for the guidance system. The numerical simulation indicates that the dual-spinning projectile is mainly different from the traditional spinning projectile in that a degree of freedom is added in the direction of the axis of the projectile, the forebody of the projectile spins at a low speed or even holds still to improve the control precision of the projectile control system, while the afterbody spins at a high speed maintaining the gyroscopic stability of the projectile. The trajectory filtering performed according to the unscented Kalman filter algorithm can improve the accuracy of measurement data and eliminate the measurement error effectively, so as to obtain more accurate and reliable measurement data.http://dx.doi.org/10.1155/2018/1795158
collection DOAJ
language English
format Article
sources DOAJ
author Jun Guan
Wenjun Yi
spellingShingle Jun Guan
Wenjun Yi
Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
International Journal of Aerospace Engineering
author_facet Jun Guan
Wenjun Yi
author_sort Jun Guan
title Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
title_short Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
title_full Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
title_fullStr Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
title_full_unstemmed Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering
title_sort modeling of dual-spinning projectile with canard and trajectory filtering
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2018-01-01
description The article establishes a seven-degree-of-freedom projectile trajectory model for a new type of spinning projectile. Based on this model, a numerical analysis is performed on the ballistic characteristics of the projectile, and the trajectory of the dual-spinning projectile is filtered with the unscented Kalman filter algorithm, so that the measurement information of projectile onboard equipment is more accurate and more reliable measurement data are provided for the guidance system. The numerical simulation indicates that the dual-spinning projectile is mainly different from the traditional spinning projectile in that a degree of freedom is added in the direction of the axis of the projectile, the forebody of the projectile spins at a low speed or even holds still to improve the control precision of the projectile control system, while the afterbody spins at a high speed maintaining the gyroscopic stability of the projectile. The trajectory filtering performed according to the unscented Kalman filter algorithm can improve the accuracy of measurement data and eliminate the measurement error effectively, so as to obtain more accurate and reliable measurement data.
url http://dx.doi.org/10.1155/2018/1795158
work_keys_str_mv AT junguan modelingofdualspinningprojectilewithcanardandtrajectoryfiltering
AT wenjunyi modelingofdualspinningprojectilewithcanardandtrajectoryfiltering
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