Coriolis Vibratory Gyroscope (CVG) is considered the most critical component in a strap down
inertial navigation unit. It measures the rate of rotation through the Coriolis coupling, or exchange
of angular momentum, between a pair of resonance modes with very close resonance frequency,
often referred to as a degenerate mode pair. The measurement error, however, is closely related to
how close the degenerate mode pair match in frequencies. Further the errors also drifts over time,
making precise calibration nearly impossible.
There is a particular class of CVGs with radial symmetry in their geometric design. Such
symmetry permits the simultaneous actuation and measurement of multiple Coriolis mode pairs.
Such design opens up the possibility of operating more than one pair of degenerate modes on
the same resonator. The UCLA resonator (URES) was designed to exploit the benefits of this
possibility. The first challenge to overcome is the simultaneous modal frequency match of two
Coriolis mode pairs. The two mode pairs of interest are the n = 2 mode, which is elliptical
in shape, and the n = 3 mode, which is trilobal in shape. The as etched resonator typically
exhibit frequency mismatch on the order of 10Hz for both mode pairs. A technique using mass
perturbation has been developed to simultaneously reduce the frequency mismatch of both mode
pairs to within 0.1 Hz. Once tuned, a system identification procedure is performed to determine the
modal properties of both mode pairs, from which the drive and sense electrodes and the peripheral
electronics can be optimally configured to maximize signal to noise ratio, and reduce quadrature
error.
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A new control architecture is then implemented to simultaneously operate both mode pairs
on the tuned resonator as two independent Coriolis sensors, thus allowing the extraction of two
independent rate measurements from the same resonator. The noise and long term stability performance
of both mode pairs are characterized. Angle random walk (ARW), bias stability, and
scale factor for each mode pair are first characterized with the other mode pair turned off. The
performance parameters are subsequently compared to those when the two mode pairs are simultaneously
operated. Degradation in the noise performance due to nonlinearity in the electronics was
analyzed, and an effective mitigation using frequency domain filtering was implemented. Correlation
between the n = 2 and n = 3 bias drift was observed, and studied in detail in this research.
Further a blending filter architecture is introduced to optimally combine the two rate measurements
to yield a single superior rate measurement, in terms of both the sensors noise characteristics and
its long term bias stability.
Lastly, a novel in-situ technique is introduced to adaptively identify a finite-impulse-response
(FIR) model for the parasitic feedthrough signal between the input port and the output port of a
microelectromechanical (MEMS) resonator. The identified FIR model is then used as a filter to
cancel the parasitic signal leaving a clean resonance peak. Experiments conducted on multiple
two-input-two-output resonator devices show that the filters can adapt to different devices without
precise knowledge of the devices’ parameters. The filters also track the changes in the parasitic
feedthrough over time, providing consistent cancellation. Suppressions of more than 30 dB on the
parasitic feedthrough signals are obtained on all tested devices.