The Application of LMS Filter Based on Initial Value Estimated by Fuzzy Inference for Active Vibration Control

Author

Ding, Haishan ; Mao, Jianqin ; Quan, Weifeng ; Li, Chao

Author_Institution

Seventh Div., Beijing Univ. of Aeronaut. & Astronaut.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3094

Lastpage

3098

Abstract

The fuzzy system models with frequency of excitation signals for initial tap weight vector, which was used in the least mean square (LMS) adaptive filter, were built based on fuzzy inference approach. The model outputs were chosen as initial tap weight vector, which sped the convergence and improves the stability of the algorithm. The approach presented was tested by the experiment for the active vibration control of the single degree-of-freedom system. The results show the efficiency of the new approach

Keywords

adaptive filters; control engineering computing; convergence; fuzzy control; fuzzy reasoning; fuzzy systems; least mean squares methods; vectors; vibration control; active vibration control; fuzzy inference; fuzzy system; initial tap weight vector; least mean square adaptive filter; single degree-of-freedom system; Adaptive filters; Convergence; Frequency; Fuzzy control; Fuzzy systems; Inference algorithms; Least squares approximation; Stability; System testing; Vibration control; active vibration control; fuzzy inference; initial value estimate; least mean square (LMS) algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712936

Filename

1712936