Scalable Macromodels for Microelectromechanical Systems

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A fully automatic macromodeling methodology to generate scalable reduced-order models for microelectromechanical systems is presented in this paper. Krylov subspace methods are used to generate reduced-order models from detailed higher-order models of the device under consideration. The entire methodology is implemented in a symbolic computation environment to preserve dependencies on physical device parameters. The macromodeling methodology is demonstrated using the combdrive microresonator as a representative example. The results are compared with analytical models, NODAS and finite element simulations.

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Journal: TechConnect Briefs
Volume: 1, Technical Proceedings of the 2001 International Conference on Modeling and Simulation of Microsystems
Published: March 19, 2001
Pages: 72 - 75
Industry sector: Sensors, MEMS, Electronics
Topic: Compact Modeling
ISBN: 0-9708275-0-4