Estimating Spacecraft Angular Velocity Using Star Images
Author Information
Author(s): Si Jiaqian, Niu Yanxiong, Niu Haisha, Liu Zixuan, Liu Danni
Primary Institution: Beihang University
Hypothesis
Can an optimized Kalman filter improve the accuracy of angular velocity estimation for spacecraft using optical flow from star images?
Conclusion
The proposed optimized Kalman filtering method significantly enhances the accuracy of angular velocity estimation for spacecraft under dynamic conditions.
Supporting Evidence
- The optimized Kalman filter method introduces an adaptive factor to enhance performance under dynamic conditions.
- Simulation results show that the proposed method achieves high-precision angular velocity estimation.
- The accuracy of angular velocity estimation is approximately 10−5 rad/s.
Takeaway
This study shows a new way to help spacecraft know how fast they're turning by using pictures of stars and a special math method.
Methodology
The study used simulation experiments to compare an optimized Kalman filter method with a traditional Kalman filter for estimating angular velocity from optical flow of star images.
Limitations
The study's findings may not be applicable to all spacecraft motion scenarios, particularly those outside the simulated conditions.
Digital Object Identifier (DOI)
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