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author:

Lin, Xiezhao (Lin, Xiezhao.) [1] (Scholars:林谢昭) | Ying, Ji (Ying, Ji.) [2] | Chen, Zichen (Chen, Zichen.) [3]

Indexed by:

EI Scopus PKU CSCD

Abstract:

To build the reduced order model (ROM) of an electrostatically actuated micro-plate device, a system identification modeling based on the energy identification approach is proposed. The kinetic energy, strain energy and capacitance of the nonlinear system are written as the multivariate polynomial functions of the structural modals. The unknown coefficients of these polynomials are fitted using the least squares from a set of steady state, high-fidelity, nonlinear finite element models. The resulting strain energy and capacitance expressions can be used to develop the ROM. The simulation with the ROM is with a much lower computational cost, and the calculating results agree very well with those from high-fidelity finite element model under various electric loads, and thus, the modeling approach in this paper has been validated.

Keyword:

Capacitance Computation theory Electrostatic actuators Finite element method Identification (control systems) Kinetic energy Kinetics Plates (structural components) Religious buildings Strain energy

Community:

  • [ 1 ] [Lin, Xiezhao]The College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Lin, Xiezhao]The College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China
  • [ 3 ] [Ying, Ji]The College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China
  • [ 4 ] [Chen, Zichen]The College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China

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Source :

Acta Mechanica Solida Sinica

ISSN: 0254-7805

CN: 42-1250/O3

Year: 2010

Issue: 3

Volume: 31

Page: 244-251

0 . 5 4 3

JCR@2010

2 . 0 0 0

JCR@2023

ESI Discipline: ENGINEERING;

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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