2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC) 2014
DOI: 10.1109/msnmc.2014.6979750
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Vibratory gyroscope scale factor multi-parametric calibration

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Cited by 6 publications
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“…To simulate the predetermined virtual positive and negative angle rates in a CVG operational temperature range, one should first be built a temperature model that connects the value of the electrical signal (voltage for analog CVG or code for digital one) with the angle rate that should be simulated. This model can be built by analogy with the SF model based on not necessarily only temperature data, but on the resonant frequency, drive amplitude, and quadrature amplitude, as well [14].…”
Section: Simulation Of a Virtual Angle Ratementioning
confidence: 99%
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“…To simulate the predetermined virtual positive and negative angle rates in a CVG operational temperature range, one should first be built a temperature model that connects the value of the electrical signal (voltage for analog CVG or code for digital one) with the angle rate that should be simulated. This model can be built by analogy with the SF model based on not necessarily only temperature data, but on the resonant frequency, drive amplitude, and quadrature amplitude, as well [14].…”
Section: Simulation Of a Virtual Angle Ratementioning
confidence: 99%
“…As has been discussed above, the more accurate approximation of the measurement data under temperature change is provided when including in the model additional parameters such as resonant frequency, drive (excitation), and quadrature amplitudes [14]. They are CVG control signals.…”
Section: Calibration Process and Its Analysismentioning
confidence: 99%
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“…MEMS gyroscope drift compensation methods can be divided into modelling compensation [7][8][9][10][11] and parameter calibration [12][13][14]. The modelling compensation method establishes the bias model and scale factor (SF) versus temperature using high-and low-temperature tests.…”
Section: Introductionmentioning
confidence: 99%
“…The output is compensated by combining the observation value and the temperature model. The multiparameter fusion modelling compensation comprises methods that combine the resonant frequency, drive amplitude, and quadrature amplitude [12] and those that combine the vibration amplitude, frequency difference, and phase [13]. Recently, novel signal processing algorithms combining machine learning and digital signal processing have been applied to MEMS gyroscope temperature‐drift compensation [14].…”
Section: Introductionmentioning
confidence: 99%