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    An FPGA-based architecture for the in-run self-calibration of MEMS gyroscopes

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    WISHER-THESIS-2017.pdf (4.385Mb)
    Date
    2017-01-09
    Author
    Wisher, Samuel
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    Abstract
    Two important metrics to consider when evaluating the performance of a MEMS vibratory gyroscope are the bias and scale factor drifts, and we propose an FPGA-based digital self-calibration architecture that cancels the influence of these errors in the gyro output. Using a digital interfacing architecture allows for the elimination of sources of drift known to be the limiting factors in the analog implementation. Also, with the dual-mode architecture, the digital platform allows utilization of DSP procedures for in-run analysis and compensation of error sources.
    URI
    http://hdl.handle.net/1853/59750
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    • School of Electrical and Computer Engineering Theses and Dissertations [3127]
    • Georgia Tech Theses and Dissertations [22398]

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