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106                     MEM Structures and Systems in Industrial and Automotive Applications

                 accuracy [27]. Additionally, the degeneracy tends to minimize the device’s sensitiv-
                 ity to thermal errors, aging, and long-term frequency drifts.
                    A simple and common implementation is the tuning-fork structure (see
                 Figure 4.22). The two tines of the fork normally vibrate in opposite directions in the
                 plane of the fork (flexural mode). The Coriolis acceleration subjects the tips to a
                 displacement perpendicular to the primary mode of oscillation, forcing each tip to
                 describe an elliptical path. Rotation, hence, excites a secondary vibration torsional
                 mode around the stem with energy transferred from the primary flexural vibration
                 of the tines. Quartz tuning forks such as those from BEI Technologies, Systron Don-
                 ner Inertial Division of Concord, California, use the piezoelectric properties of the
                 material to excite and sense both vibration modes. The tuning-fork structure is also
                 at the core of a micromachined silicon sensor from Daimler Benz AG that will be
                 described later. Other implementations of angular rate sensors include simple reso-
                 nant beams, vibrating ring shells, and tethered accelerometers, but all of them
                 exploit the principle of transferring energy from a primary to a secondary mode of
                 resonance. Of all the vibrating angular-rate structures, the ring shell or cylinder is
                 the most promising for inertial and navigational-grade performance because of the
                 frequency degeneracy of its two resonant modes.
                    The main specifications of an angular-rate sensor are full-scale range (expressed
                 in º/s or º/hr; scale factor or sensitivity [V/(º/s)]; noise, also known as angle random
                 walk [(° s ⋅ Hz )]; bandwidth (Hz); resolution (º/s); and dynamic range (dB), the lat-
                 ter two being functions of noise and bandwidth. Short- and long-term drift of the
                 output, known as bias drift, is another important specification (expressed in º/s or
                 º/hr). As is the case for most sensors, angular-rate sensors must withstand shocks of
                 at least 1,000G.
                    Micromachined angular-rate sensors have largely been unable to deliver a
                 performance better than rate grade. These are devices with a dynamic range of only
                 40 dB, a noise figure larger than 01. °  ( ⋅s  Hz ), and a bias drift worse than 10 º/hr.
                 By comparison, inertial grade sensors and true gyroscopes deliver a dynamic range
                 of over 100 dB, a noise less than 0 001.  °  ( ⋅hr  Hz ), and a bias drift better than
                 0.01 º/hr [28]. The advantage of micromachined angular-rate sensors lies in their


                                    Tine oscillation       Coriolis acceleration


















                 Figure 4.22  Illustration of the tuning-fork structure for angular-rate sensing. The Coriolis effect
                 transfers energy from a primary flexural mode to a secondary torsional mode.
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