A robust optimal design of shape and size is formulated for vibratory micro
gyroscopes that can reduce the effect of variations from uncertainties in m
icroelectromechanical systems fabrication. The important objective in the d
esign of vibratory microgyroscopes is to reduce the difference between the
resonance frequencies of the vertical (detecting) and lateral (driving) mod
es in order to attain high mechanical detecting sensitivity. The determinis
tic optimization for this goal results in good performance but is sensitive
to fabrication errors. The basic idea of the present formulation is to obt
ain robustness of the objective function by minimizing the gradient of the
objective function with respect to uncertain variables through a proper sel
ection of shapes and sizes. The beam width, length and thickness of vibrato
ry microgyroscopes are adopted as design variables and are simultaneously r
egarded as uncertain variables in the optimization problems. A robustness c
heck using a newly defined yield through the Monte Carlo simulation has sho
wn that the robust optimal design obtained has generated twice the number o
f acceptable designs than the deterministic optimum. The important point is
that the formulation of minimizing the maximum sensitivity of the objectiv
e function requires no statistical information on the uncertainties and yet
achieves robustness.