A novel model order reduction approach for generating efficient nonlinear verilog-a models of mems gyroscopes

Inertial Sensors and Systems(2015)

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摘要
This paper reports a novel model-order reduction (MOR) approach for creating fast-running, nonlinear, multiphysics models in Verilog-A. This new approach differs from previous work by creating the reduced order model (ROM) directly from an accurate, nonlinear, multi-physics representation. The mechanical and electrical nonlinearities of the MEMS structure are persevered to capture effects such as quadrature, amplitude-dependent frequency shifting and electrostatic softening. The reduction algorithm has been implemented in the commercial MEMS/IC co-design tool MEMS+. The approach's effectiveness is validated for a state-of-the-art, three-axis, capacitive gyroscope from Murata Electronics by comparing simulations of the created Verilog-A model with experimental data.
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关键词
capacitive sensors,computerised instrumentation,gyroscopes,hardware description languages,integrated circuit design,microsensors,reduced order systems,mems structure,mems+,murata electronics,rom,capacitive gyroscope,capture effect,commercial mems-ic codesign tool,efficient nonlinear verilog-a model generation,electrical nonlinearities,mechanical nonlinearities,model order reduction approach,multiphysics model,reduced order model,reduction algorithm,mor,verilog-a,gyroscope,electrostatics,finite element analysis,read only memory,mathematical model
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