| Citation: | ZHAO Yulong, SHEN Huairong, REN Yuanet al. Phase fluctuation noise adaptive cancellation system of superfluid gyroscope[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(3): 508-515. doi: 10.13700/j.bh.1001-5965.2017.0199(in Chinese)
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Aimed at the deterioration issue of gyroscope angular velocity measurement precision, which is caused by phase fluctuation noise of superfluid gyroscope, a gyroscope noise cancellation system based on recursive least square (RLS) algorithm was proposed. First, the phase detection model of superfluid gyroscope was established, and the relationship between thin film displacement and phase of gyroscope was obtained. Second, considering the influence of thermal motion, the noise equivalent input angular velocity model of gyroscope was established, the influence of gyroscope parameter on angular velocity noise was explored, and the amplitude range of angular velocity noise was obtained. Furthermore, considering the irrelevance between angular velocity noise and input angular velocity, the mixed angular velocity information which is calculated from the thin film amplitude of the gyroscope was taken as original input of the noise cancellation system, and angular velocity noise which is caused by phase noise as the reference input of RLS adaptive filter. The noise portion of the mixed angular velocity is offset by the output of RLS filter through adjusting the parameters. Finally, the comparison results between this method and least mean square (LMS) algorithm show that the noise portion in mixed angular velocity information can be effectively suppressed by this cancellation system with fast convergence speed and good stability in the case of large angular velocity and large noise.
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