Automatic compensation for the errors of a gyroscopic linear integrating accelerometer
- Kiev Polytechnic Institute (Ukraine)
The method of least squares and the Kalman filter are the basis for developing algorithms and studying the errors of estimation of the state of a gyroscopic linear integrating accelerometer with digital processing of the data. The article considers the development of algorithms for self-compensation of the errors of a gyroscopic linear integrating accelerometer (GLIA). One of the promising applications of a gyroscopic linear integrating accelerometer is its use as a sensing element for an aviration gravimetric system. At the same time, a GLIA has errors due to nonlinear distortions of the path of the sensing element or gyroscope, the nonzero damping factor of precessional oscillations due to viscous friction moments acting frequency of the precessional oscillations used in the estimation algorithms and the frequency of the precessional oscillations of the gyroscope, and the disturbances that affect the law of motion of the gyroscope. These errors may have an unacceptably large effect (roughly 0.5 g) if not taken into account. The goal here, therefore, is to obtain an algorithm of automatic compensation for the indicated errors. Such a problem has not hitherto been formulated and solved in the theory and practice of gravimetric measurements.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 186139
- Journal Information:
- International Applied Mechanics, Journal Name: International Applied Mechanics Journal Issue: 4 Vol. 31; ISSN IAMEEU; ISSN 1063-7095
- Country of Publication:
- United States
- Language:
- English
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