Sensors | |
Satellite Angular Velocity Estimation Based on Star Images and Optical Flow Techniques | |
Giancarmine Fasano1  Giancarlo Rufino2  Domenico Accardo2  | |
[1] Department of Industrial Engineering (DII), University of Naples “Federico II”, P.le Tecchio 80, Naples I80125, Italy; | |
关键词: spacecraft angular velocity estimation; star field images; optical flow; performance analysis; hardware-in-the-loop simulation; | |
DOI : 10.3390/s131012771 | |
来源: mdpi | |
【 摘 要 】
An optical flow-based technique is proposed to estimate spacecraft angular velocity based on sequences of star-field images. It does not require star identification and can be thus used to also deliver angular rate information when attitude determination is not possible, as during platform de tumbling or slewing. Region-based optical flow calculation is carried out on successive star images preprocessed to remove background. Sensor calibration parameters, Poisson equation, and a least-squares method are then used to estimate the angular velocity vector components in the sensor rotating frame. A theoretical error budget is developed to estimate the expected angular rate accuracy as a function of camera parameters and star distribution in the field of view. The effectiveness of the proposed technique is tested by using star field scenes generated by a hardware-in-the-loop testing facility and acquired by a commercial-off-the shelf camera sensor. Simulated cases comprise rotations at different rates. Experimental results are presented which are consistent with theoretical estimates. In particular, very accurate angular velocity estimates are generated at lower slew rates, while in all cases the achievable accuracy in the estimation of the angular velocity component along boresight is about one order of magnitude worse than the other two components.
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190033538ZK.pdf | 570KB | download |