Creating Virtual Prototypes of Complex MEMS Transducers Using Reduced-Order Modelling Methods and VHDL-AMS

作者: Torsten Mähne , Kersten Kehr , Axel Franke , Jörg Hauer , Bertram Schmidt

DOI: 10.1007/978-1-4020-4998-9_8

关键词: ModalElectronic engineeringFinite element methodControl engineeringTransducerYaw-rate sensorMicroelectromechanical systemsEngineeringCouplingVHDL-AMSEnergy conservation

摘要: In this chapter the creation of "virtual prototypes" complex micro-electro-mechanical transducers is presented. Creating these behavioural models can be partially automatised using a reduced-order modelling (ROM) method. It uses modal decomposition to represent movement flexible structures. Shape functions model energy conservation and full coupling between different physical domains. Both shapes shape for strain lumped capacitances structure derived in highly automated way from detailed 3D finite elements (FE) available earlier design stages. Separating generation same FE but operation directions circumvents current limitations used ROM These sub models are integrated into transducer. VHDL-AMS describe additional strong effects directions, which not considered by method itself. The application methodology on commercially-available yaw rate sensor as an example transducer demonstrates practical suitability approach.

参考文章(8)
J G Korvink, E B Rudnyi, A Greiner, J Lienemann, Mor4ansys: Generating compact models directly from ANSYS models NSTI Nanotechnology Conference and Trade Show : NSTI Nanotech 2004; March 7 - 11, 2004, Boston, Massachusetts, USA. Vol. 2. Ed.: M. Laudon. ,vol. 2, pp. 279- 282 ,(2004)
Jan G. Korvink, Evgenii B. Rudnyi, Tamara Bechtold, Automatic Generation of Compact Electro-Thermal Models for Semiconductor Devices IEICE Transactions on Electronics. pp. 459- 465 ,(2003)
Sven Reitz, Christian Döring, Jens Bastian, Peter Schneider, Peter Schwarz, Reinhard Neul, System Level Modeling of the Relevant Physical Effects of Inertial Sensors Using Order Reduction Methods Analog Integrated Circuits and Signal Processing. ,vol. 44, pp. 129- 135 ,(2005) , 10.1007/S10470-005-2593-Y
Evgenii B. Rudnyi, Jan G. Korvink, Review: Automatic Model Reduction for Transient Simulation of MEMS‐based Devices Sensors Update. ,vol. 11, pp. 3- 33 ,(2002) , 10.1002/SEUP.200211105
M. Schlegel, F. Bennini, J.E. Mehner, G. Herrmann, D. Muller, W. Dotzel, Analyzing and simulation of MEMS in VHDL-AMS based on reduced-order FE models IEEE Sensors Journal. ,vol. 5, pp. 1019- 1026 ,(2005) , 10.1109/JSEN.2004.841445
L.D. Gabbay, J.E. Mehner, S.D. Senturia, Computer-aided generation of nonlinear reduced-order dynamic macromodels. I. Non-stress-stiffened case IEEE\/ASME Journal of Microelectromechanical Systems. ,vol. 9, pp. 262- 269 ,(2000) , 10.1109/84.846707
J. Chen, S.-M. Kang, J. Zou, C. Liu, J.E. Schutt-Aine, Reduced-order modeling of weakly nonlinear MEMS devices with Taylor-series expansion and Arnoldi approach IEEE\/ASME Journal of Microelectromechanical Systems. ,vol. 13, pp. 441- 451 ,(2004) , 10.1109/JMEMS.2004.828704
Fouad Bennini, Jan Mehner, Wolfram Dötzel, Computational Methods for Reduced Order Modeling of Coupled Domain Simulations Springer, Berlin, Heidelberg. pp. 260- 263 ,(2001) , 10.1007/978-3-642-59497-7_61