2017 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) 2017
DOI: 10.1109/isiss.2017.7935656
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Incorporating geometrical nonlinearities in reduced order models for MEMS gyroscopes

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Cited by 8 publications
(2 citation statements)
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“…We will employ shape optimization to shift eigenfrequencies of a single-axis MEMS gyroscope. The same MEMS gyroscope has already been subject of previous publications, which dealt with the modeling of geometric nonlinearities (Putnik et al, 2016(Putnik et al, , 2017b(Putnik et al, ,a, 2018b. In this work, we focus on the linear eigenfrequencies.…”
Section: Modeling Of the Mems Gyroscopementioning
confidence: 99%
“…We will employ shape optimization to shift eigenfrequencies of a single-axis MEMS gyroscope. The same MEMS gyroscope has already been subject of previous publications, which dealt with the modeling of geometric nonlinearities (Putnik et al, 2016(Putnik et al, , 2017b(Putnik et al, ,a, 2018b. In this work, we focus on the linear eigenfrequencies.…”
Section: Modeling Of the Mems Gyroscopementioning
confidence: 99%
“…Modal truncation has been widely used for MEMS, e.g., for electromechanic RF microswitches with geometrical nonlinearities [11] and fluid structural interactions [12]. Further examples include micromirror arrays [13] and MEMS gyroscopes [14][15][16][17].…”
Section: State Of the Art: Projection-based Linear Model Order Reduct...mentioning
confidence: 99%