Title :
System identification using IDFT for structural dynamic models
Author_Institution :
Changwon Proving Ground, Agency Defense Dev., South Korea
Abstract :
The structural vibration systems expressed with the partial differential equations are considered as the infinite-dimensional dynamic system. In multivariate control systems, it is necessary to derive the state-space reduced order model. The subspace system can be derived by eigensystem realization algorithms (ERA) with the inverse discrete Fourier transformation (IDFT) of the measured frequency response functions. The modal coordinate transformation is applied to the realization system in order to determine the natural frequencies and modal damping ratios of the subspace system. We discuss the necessary conditions of the convergence in ℋ∞ for the approximated transfer function of the IDFT-realization system. The error bounds of the transfer function approximation are also represented in terms of the singular values of the impulse response matrices. The structural vibration test for a smart structure and the finite element model (FEM) simulation are performed to provide the records of frequency response functions
Keywords :
Fourier transforms; convergence; finite element analysis; frequency response; identification; multivariable control systems; partial differential equations; reduced order systems; transfer functions; vibration control; IDFT; convergence; eigensystem realization algorithms; error bounds; finite element model; frequency response functions; impulse response matrices; infinite-dimensional dynamic system; inverse discrete Fourier transformation; modal coordinate transformation; modal damping ratios; multivariate control systems; partial differential equations; smart structure; state-space reduced order model; structural dynamic models; structural vibration systems; structural vibration test; system identification; transfer function approximation; Control system synthesis; Convergence; Damping; Frequency measurement; Frequency response; Function approximation; Partial differential equations; Reduced order systems; System identification; Transfer functions;
Conference_Titel :
Advanced Intelligent Mechatronics, 1999. Proceedings. 1999 IEEE/ASME International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5038-3
DOI :
10.1109/AIM.1999.803263