Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation
The aiming accuracy of the Unmanned Aerial Vehicles (UAV) Steadicam head can be affected by many factors, such as the state of the UAV during the actual flight and the installation error of the system related hardware. In order to eliminate the influence of objective factors on the UAV Steadicam, a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10160027/ |
| _version_ | 1797792180423622656 |
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| author | Yufang Lu Lisha Meng Haihua Tang Lei Shi |
| author_facet | Yufang Lu Lisha Meng Haihua Tang Lei Shi |
| author_sort | Yufang Lu |
| collection | DOAJ |
| description | The aiming accuracy of the Unmanned Aerial Vehicles (UAV) Steadicam head can be affected by many factors, such as the state of the UAV during the actual flight and the installation error of the system related hardware. In order to eliminate the influence of objective factors on the UAV Steadicam, a Kalman filter aiming algorithm based on the coordinate transformation method is proposed to eliminate the attitude error of the UAV Steadicam and improve the accuracy of the system. The algorithm uses coordinate transformation to eliminate mounting errors and combines coordinate transformation and Kalman filtering methods to eliminate objective errors of the UAV in flight. The experimental simulation results show that our method can accurately give the amount of azimuth and pitch angle error compensation during the flight of the UAV, improving the accuracy of the UAV Steadicam head. Ultimately, the method is applied to the development of a real product. |
| first_indexed | 2024-03-13T02:29:29Z |
| format | Article |
| id | doaj.art-bcad2e2db7d841efbc5ab21a602857e3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T02:29:29Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bcad2e2db7d841efbc5ab21a602857e32023-06-29T23:00:28ZengIEEEIEEE Access2169-35362023-01-0111637846379410.1109/ACCESS.2023.328900610160027Development of Steady Aiming System Based on Kalman Filter and Coordinate TransformationYufang Lu0https://orcid.org/0000-0002-9053-3104Lisha Meng1https://orcid.org/0009-0008-9679-0479Haihua Tang2https://orcid.org/0009-0003-3518-089XLei Shi3Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin, ChinaSchool of Information Science and Engineering, Guilin University of Technology, Guilin, ChinaSchool of Information Science and Engineering, Guilin University of Technology, Guilin, ChinaSchool of Science, Guilin University of Technology, Guilin, ChinaThe aiming accuracy of the Unmanned Aerial Vehicles (UAV) Steadicam head can be affected by many factors, such as the state of the UAV during the actual flight and the installation error of the system related hardware. In order to eliminate the influence of objective factors on the UAV Steadicam, a Kalman filter aiming algorithm based on the coordinate transformation method is proposed to eliminate the attitude error of the UAV Steadicam and improve the accuracy of the system. The algorithm uses coordinate transformation to eliminate mounting errors and combines coordinate transformation and Kalman filtering methods to eliminate objective errors of the UAV in flight. The experimental simulation results show that our method can accurately give the amount of azimuth and pitch angle error compensation during the flight of the UAV, improving the accuracy of the UAV Steadicam head. Ultimately, the method is applied to the development of a real product.https://ieeexplore.ieee.org/document/10160027/Attitude errorcoordinate transformationerror compensationKalman filteringSteadicam head |
| spellingShingle | Yufang Lu Lisha Meng Haihua Tang Lei Shi Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation IEEE Access Attitude error coordinate transformation error compensation Kalman filtering Steadicam head |
| title | Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation |
| title_full | Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation |
| title_fullStr | Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation |
| title_full_unstemmed | Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation |
| title_short | Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation |
| title_sort | development of steady aiming system based on kalman filter and coordinate transformation |
| topic | Attitude error coordinate transformation error compensation Kalman filtering Steadicam head |
| url | https://ieeexplore.ieee.org/document/10160027/ |
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