Low-Rate MEMS Vibratory Gyroscope in COMSOL: Coriolis Modeling

Low-Rate MEMS Vibratory Gyroscope in COMSOL: Coriolis Modeling
MatlabSourceCode Research Desk
September 2026
COMSOL / MEMS • Research Guide

Low-rate gyroscopes must resolve small Coriolis-induced motion relative to the driven vibration while minimizing mode mismatch, cross-axis response and numerical artifacts.

Drive mode and sense mode

A vibratory gyroscope excites a controlled drive vibration and detects motion in an orthogonal sense direction. The eigenmodes should be identified before applying angular rate so the intended mechanical coupling is clear.

Coriolis coupling in COMSOL

Rotational motion produces a Coriolis force proportional to angular rate and drive velocity. The implementation should keep the coordinate system, rotation axis, damping and harmonic excitation consistent.

Low-rate measurement is demanding

At low angular rates, sense displacement can be very small. Mesh quality, mode separation, damping assumptions and numerical tolerances can strongly influence the predicted sensitivity.

Results to extract

Report eigenfrequencies, mode shapes, drive/sense amplitudes, angular-rate sensitivity, linearity and structural stress. A rate sweep is more informative than a single operating point.

PhD extensions

Mode matching, temperature compensation, fabrication tolerances, closed-loop control and capacitive readout/noise models can substantially deepen the work.

Need this topic implemented or customized?

Share your project title, abstract or base paper, preferred software version and required plots. The existing video project can be reviewed as a baseline and extended around a measurable research objective.

Topic FAQs
Frequently asked questions
The project is modeled primarily in COMSOL Multiphysics. The exact release, material data, solver options and result reports should be kept consistent for reproducible research.
Report the core physical or electrical outputs, a controlled baseline comparison, parameter sensitivity and the assumptions required to reproduce the model. Avoid claiming unverified numerical improvements.
Yes. A stronger extension should define a measurable research gap, a reproducible baseline, a proposed change and validation metrics rather than changing geometry or controller parameters without a hypothesis.
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