Title :
Model-order reduction of weakly nonlinear MEMS devices with Taylor series expansion and Arnoldi process
Author :
Chen, Jinghong ; Kang, Sung-Mo Steve
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
Presents a new method combining Taylor series expansion and Arnoldi method to develop reduced-order models for weakly nonlinear MEMS devices. A fixed-fixed beam structure with squeeze-film damping effect is studied. Simulation results with the reduced-order models demonstrate good agreement with the data generated from the finite difference simulation but with an order of magnitude reduction in execution time. The reduced-order models have been integrated in a multi-level circuit simulator for composite circuit and micromechanical simulations
Keywords :
digital simulation; finite difference methods; micromechanical devices; reduced order systems; semiconductor device models; Arnoldi method; Taylor series expansion; composite circuit/micromechanical simulations; execution time; finite difference simulation; fixed-fixed beam structure; multi-level circuit simulator; reduced-order models; squeeze-film damping effect; weakly nonlinear MEMS devices; Circuit simulation; Computational modeling; Damping; Deformable models; Electrostatics; Equations; Microelectromechanical devices; Micromechanical devices; Reduced order systems; Taylor series;
Conference_Titel :
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location :
Lansing, MI
Print_ISBN :
0-7803-6475-9
DOI :
10.1109/MWSCAS.2000.951631