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基于Krylov子空间法的MEMS降阶建模与仿真
引用本文:孙道恒,马海阳,李文望.基于Krylov子空间法的MEMS降阶建模与仿真[J].机械工程学报,2004,40(5):58-61.
作者姓名:孙道恒  马海阳  李文望
作者单位:厦门大学机电工程系,厦门,361005
基金项目:国家自然科学基金(50275127)
摘    要:获得系统的宏模型是MEMS系统级建模与仿真的关键。将Krylov子空间理论与方法应用于MEMS降阶建模,介绍了Krylov子空间的理论基础,针对MEMS中常见的静电—结构耦合系统,建立了有限元动力学方程,运用修正Arnoldi算法得到降阶模型。算例表明,经大幅度降阶得到的模型真实地反映了系统地运动状态,大大缩短了求解时间,降低了计算复杂度。

关 键 词:MEMS  子空间  宏模型  耦合  有限元
修稿时间:2003年7月6日

MODEL ORDER REDUCTION AND SIMULATION OF MEMS BASED ON KRYLOV SUBSPACE
Sun Daoheng,Ma Haiyang,Li Wenwang.MODEL ORDER REDUCTION AND SIMULATION OF MEMS BASED ON KRYLOV SUBSPACE[J].Chinese Journal of Mechanical Engineering,2004,40(5):58-61.
Authors:Sun Daoheng  Ma Haiyang  Li Wenwang
Affiliation:Sun Daoheng,Ma Haiyang,Li Wenwang Department of Mechanical & Electrical Engineering,Xiamen University,Xiamen 310065
Abstract:Obtaining the macro model of MEMS is the key of MEMS system-level modeling and simulation. The Krylov subspace theory and method are applied to get reduced order model of MEMS, and the theoretical foundation of Krylov subspace is introduced. For the common MEMS coupling with static-electrical and structure, the FEM functions are built, and its reduced order model can be obtained by using modified Arnoldi algorithm. It's shown from example that the reduced order model describes really the dynamics of the original system, while the computing time and complexity are reduced to a great extent.
Keywords:MEMS  Subspace  Macro model  Coupled  FEM
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