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This paper presents a digitalized gyroscope system using $\Sigma \Delta $ modulation on ADC (Analog to Digital Converter) and DAC (Digital to Analog Converter) sections. Both discrete ADC and DAC chips are replaced with these \Sigma \Delta $ sections. The \Sigma \Delta $ ADC technology can convert signals between analog and digital domain using analog modulators on the printed circuit board circuit with different amplifiers and matched capacity couples and digital backend processing in field programmable gate array (FPGA). While the \Sigma \Delta $ ADC technology are easily realized in FPGA by signal processing algorithms the major sections of the digital system, such as auto gain control and phase-lock loop are also implemented in FPGA, which have provided the programmable flexibility of the whole system. The signal-to-noise ratio of power spectrum density (PSD) and stability in both \Sigma \Delta $ ADC and \Sigma \Delta $ DAC are analyzed, respectively. Considering the sections of the \Sigma \Delta , bandwidth of 75 Hz, and the bias instability of 2.94°/h. [ABSTRACT FROM PUBLISHER]

In this paper, we present a new design for a micro-opto-electro-mechanical (MOEMS) gyroscope based on a whispering-gallery mode (WGM) microdisk resonator and MEMS resonator. The mechanical characteristics, frequency split, and quality factor (Q) of the MEMS resonator; the optical characteristics, Q value, and coupling regimes of the WGM resonator; and the coupling between the two resonators were analyzed. Its operation principle—the transformation process from angular velocity to the resonance wavelength of the WGM resonator—is presented at same time. Next, the analysis conclusions were validated with the help of simulations in ANSYS and FDTD (Finite-Difference Time-Domain) Solutions. Afterwards, some key specifications were estimated based on the results of simulations. Lastly, the fabrication process is detailed. [ABSTRACT FROM AUTHOR]

In the analysis of the effects of temperature on the performance of microgyroscopes, it is found that the resonant frequency of the microgyroscope decreases linearly as the temperature increases, and the quality factor changes drastically at low temperatures. Moreover, the zero bias changes greatly with temperature variations. To reduce the temperature effects on the microgyroscope, temperature compensation-control methods are proposed. In the first place, a BP (Back Propagation) neural network and polynomial fitting are utilized for building the temperature model of the microgyroscope. Considering the simplicity and real-time requirements, piecewise polynomial fitting is applied in the temperature compensation system. Then, an integral-separated PID (Proportion Integration Differentiation) control algorithm is adopted in the temperature control system, which can stabilize the temperature inside the microgyrocope in pursuing its optimal performance. Experimental results reveal that the combination of microgyroscope temperature compensation and control methods is both realizable and effective in a miniaturized microgyroscope prototype.