Algorithms for Increasing the Accuracy of Solid-State Wave Gyroscopes
https://doi.org/10.32603/1993-8985-2022-25-4-81-89
Abstract
Introduction. Wave solid-state gyroscopes (SWG) are promising sensors of inertial information used in the navigation systems of air- and spacecrafts. Over the past decade, much attention has been paid to the problem of improving the accuracy of SWGs. The accuracy of measurements performed by inertial navigation instruments can be increased by developing effective algorithms, which fact determines the relevance of the present study. Research works conducted at the JSC Research Institute of Command Instruments are aimed at developing a compensationtype angular velocity sensor (AVS) based on an SWG with a cylindrical metal resonator, an electrostatic system for excitation of oscillations and information readout, with a digital feedback.
Aim. To develop methods for increasing the accuracy of SWGs based on the connection between the measurement and excitation channels, as well as accounting for the uncompensated component.
Materials and methods. To obtain information about the output signal of the sensing element (SE), the fast Fourier transform (FFT) method was used. A PID controller was used to control the effect on the sensitive element.
Results. Methods for increasing the accuracy of an SWG-based AVS by means of compensating the output signal errors were proposed, whose correctness was confirmed experimentally. The use of the developed algorithm for reducing the instability of the zero-velocity signal allowed its root-mean-square deviation at startup to be decreased by 76.4 %. The application of the developed method for increasing the accuracy using the uncompensated component led to a decrease in the standard deviation by 69.52 %.
Conclusion. The obtained experimental results demonstrate the possibility of improving SWG characteristics significantly by using various mathematical algorithms for processing information.
About the Authors
K. A. Smirnov
JSC Research Institute of Command Devices
Russian Federation
Russian Federation
Kirill A. Smirnov, Master of Science on Instrumentation (2019), 2nd category engineer
16, Tram Pr., St Petersburg 198216
E. A. Zarubailo
JSC Research Institute of Command Devices
Russian Federation
Russian Federation
Ekaterina A. Zarubailo, Master of Science on Devices and systems of orientation, stabilization and navigation (2010), Lead engineer
16, Tram Pr., St Petersburg 198216
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Review
For citations:
Smirnov K.A., Zarubailo E.A. Algorithms for Increasing the Accuracy of Solid-State Wave Gyroscopes. Journal of the Russian Universities. Radioelectronics. 2022;25(4):81-89. (In Russ.) https://doi.org/10.32603/1993-8985-2022-25-4-81-89
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