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Roll Angle Estimation for Smart Munitions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, HeeYoung | - |
dc.contributor.author | Kim, KwangJin | - |
dc.contributor.author | Lee, Jang Gyu | - |
dc.contributor.author | Park, Chan Gook | - |
dc.date.accessioned | 2010-01-07T01:14:48Z | - |
dc.date.available | 2010-01-07T01:14:48Z | - |
dc.date.issued | 2007-06 | - |
dc.identifier.citation | IFAC Symposium on Automatic Control in Aerospace 2007 | en |
dc.identifier.uri | https://hdl.handle.net/10371/27592 | - |
dc.description.abstract | The roll angle is estimated only using the pitch and yaw rates for a gunlaunched
smart munition with fast rolling of 1~2 Hz. An extended Kalman filter is designed based on the roll, pitch, and yaw dynamics and two MEMS gyroscopes measuring pitch and yaw rates. It is simulated under a realistic condition with low-grade gyroscopes. The simulation results show that the roll angle is estimated with an accuracy of 1~3 deg. (1-sigma error). The filter also exhibits that it is robust to the scale factor and bias errors of the MEMS gyroscopes. And the proposed algorithm is experimented using a two-axis rate table and a low grade MEMS IMU. The results show that the algorithm can be applied to an actual system. | en |
dc.description.sponsorship | DAPA/ADD/ASRI | en |
dc.language.iso | en | en |
dc.subject | smart munition | en |
dc.subject | inertial measurement unit | en |
dc.subject | roll estimation | en |
dc.subject | extended Kalman filter | en |
dc.title | Roll Angle Estimation for Smart Munitions | en |
dc.type | Conference Paper | en |
dc.contributor.AlternativeAuthor | 박희영 | - |
dc.contributor.AlternativeAuthor | 김광진 | - |
dc.contributor.AlternativeAuthor | 이장규 | - |
dc.contributor.AlternativeAuthor | 박찬국 | - |
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