Background Calibrated MEMS Gyroscope

This video was recorded in 2014 and posted in 2021 Sponsored by IEEE Sensors Council (https://ieee-sensors.org/) Title: Background Calibrated MEMS Gyroscope Author: Burak Eminoglu{2}, Mitchell Kline{1}, Igor Izyumin{2}, Yu-Ching Yeh{2}, Bernhard Boser{2} Affiliation: {1}Nest Labs, United States; {2}University of California, Berkeley, United States Abstract: Background calibration is used to reduce three dominant error sources in MEMS gyroscopes over manufacturing variations, temperature, and aging. (1) Measuring the ratio of the change in the oscillation frequency to a calibration signal in the drive channel cancels scale factor errors and drift. (2) Tracking of the velocity-force phase relationship suppresses leakage of the quadrature error into the rate output. (3) Continuous monitoring of the drive signal is employed to reduce errors that are in-phase with the Coriolis signal including anisotropic damping and electrical feedthrough. In combination, the three error cancellation techniques reduce the Allan Variance of an experimental device from 6.6deg/hr to 1deg/hr at 400s averaging time and from 5.7deg/hr to 2deg/hr at 3200s. The temperature sensitivity of the bias decreases from 32mdeg/s/C to 8mdeg/s/C. Scale factor variations over 12 days are reduced from 547ppm p-p to 23ppm p-p, and temperature coefficient of the scale factor is reduced from 560ppm/C to 4ppm/C at room temperature. IEEE Sensors Conferences (https://ieee-sensors.org/conferences/) IEEE Sensors Journal (https://ieee-sensors.org/sensors-jour...) IEEE Sensors Letters (https://ieee-sensors.org/sensors-lett...) IEEE Internet of Things Journal (https://ieee-iotj.org/) IEEE SENSORS conference proceedings (https://ieeexplore.ieee.org/xpl/conho...)