DocumentCode :
2232089
Title :
An algorithm for automatic model-order reduction of nonlinear MEMS devices
Author :
Chen, Jinghong ; Kang, Sung-Mo Steve
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
445
Abstract :
In this paper, we apply the Arnoldi method to generate accurate reduced-order models for coupled energy domain nonlinear microelectromechanical devices. Besides the traditional application of Arnoldi method to generate reduced-order models for linear systems, we propose a new algorithm by combining the Arnoldi method and Taylor series expansion for carrying out model-order reduction on quadratic or even higher order nonlinear systems. A well-known nonlinear MEMS device, electrostatic actuated fixed-fixed beam device with squeeze-film damping effect, is studied. Simulation results demonstrate that the reduced nonlinear model has a much better accuracy to capture the original device behavior than the simple linearization method. The reduced MEMS device model can be easily connected to a circuit simulator for efficient system level simulations
Keywords :
micromechanical devices; modelling; nonlinear systems; reduced order systems; series (mathematics); Arnoldi method; Taylor series expansion; automatic model-order reduction; coupled energy domain; electrostatic actuated fixed-fixed beam device; higher order nonlinear systems; microelectromechanical devices; nonlinear MEMS devices; quadratic order nonlinear systems; squeeze-film damping effect; Circuit simulation; Couplings; Damping; Electrostatics; Linear systems; Microelectromechanical devices; Micromechanical devices; Nonlinear systems; Reduced order systems; Taylor series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
Type :
conf
DOI :
10.1109/ISCAS.2000.856360
Filename :
856360
Link To Document :
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