Joint time-frequency domain identification of nonlinearly controlled structures

Gang Jin, Michael K. Sain, Billie F. Spencer, Khanh D. Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a 3-step approach for the identification of a linear structure that is controlled by nonlinear damping devices. First, the structure with the integrated nonlinear damper is subjected to random vibration test and the frequency response function (FRF) of the structure is calculated from the input-output data of the physical system. Based on the frequency domain data, a state space model is then estimated using a recently developed FRF curve-fitting technique that is designed especially for lightly damped structures with control inputs. Finally, an iterative process is used to optimize the model performance in the time domain and an integrated model of the nonlinenrly controlled structure is derived by interconnecting the structure model with that of the nonlinear damper. The complete approach is illustrated by the modeling of a base-isolated structure controlled by a magnetorheological (MR) fluid damper.

Original languageEnglish (US)
Title of host publicationAHS International 62nd Annual Forum - Vertical Flight
Subtitle of host publicationLeading through Innovation - Proceedings
DOIs
StatePublished - Sep 14 2006
EventModeling, Simulation, and Verification of Space-based Systems III - Kissimmee, FL, United States
Duration: Apr 17 2006Apr 17 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6221
ISSN (Print)0277-786X

Other

OtherModeling, Simulation, and Verification of Space-based Systems III
CountryUnited States
CityKissimmee, FL
Period4/17/064/17/06

Keywords

  • Frequency domain analysis
  • Identification
  • Intelligent structures
  • Modeling
  • Vibration control

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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