Reduced-Order Modeling of Weakly Nonlinear MEMS Devices with Taylor-Series Expansion and Arnoldi Approach (2004)
| Venue: | TRANSDUCERS MAGAZINE (S&T E-DIGEST) |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Chen04reduced-ordermodeling,
author = {Jinghong Chen and Sung-Mo (Steve) Kang and Jun Zou and Chang Liu and José E. Schutt-Ainé},
title = {Reduced-Order Modeling of Weakly Nonlinear MEMS Devices with Taylor-Series Expansion and Arnoldi Approach},
booktitle = {TRANSDUCERS MAGAZINE (S&T E-DIGEST)},
year = {2004},
pages = {526--533},
publisher = {}
}
OpenURL
Abstract
In this paper, we present a new technique by combining the Taylor series expansion with the Arnoldi method to automatically develop reduced-order models for coupled energy domain nonlinear microelectromechanical devices. An electrostatically actuated fixed-fixed beam structure with squeeze-film damping effect is examined to illustrate the model-order reduction method. Simulation results show that the reduced-order nonlinear models can accurately capture the device dynamic behavior over a much larger range of device deformation than the conventional linearized model. Compared with the fully meshed finite-difference method, the model reduction method provides accurate models using orders of magnitude less computation. The reduced MEMS device models are represented by a small number of differential and algebraic equations and thus can be conveniently inserted into a circuit simulator for fast and efficient system-level simulation.







