Title :
Application of frequency domain adaptive IIR filtering for identification of flexible structure dynamics
Author :
Tzes, Anthony ; Le, Ke
Author_Institution :
Dept. of Mech. Eng., Polytechnic Univ., Brooklyn, NY, USA
Abstract :
An adaptive IIR filter in a parallel form realization is applied to the identification problem of flexible structure. The filter is capable of identifying systems with distinct poles. The filter´s convergence rate is increased by whitening its exciting input through the discrete Fourier transform. The pole parameter update can be restricted within a sector of the unit disk, thus improving its convergence rate. This sector is typically determined by the a priori knowledge about the damping and the natural modal frequencies of the flexible structure dynamics
Keywords :
Fourier transforms; IIR filters; adaptive filters; flexible structures; frequency-domain analysis; identification; poles and zeros; discrete Fourier transform; flexible structure dynamics identification; frequency domain adaptive IIR filtering; natural modal frequencies; parallel form realization; poles; Adaptive filters; Convergence; Damping; Discrete Fourier transforms; Filtering; Finite impulse response filter; Flexible structures; Frequency domain analysis; IIR filters; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.531267