Title :
A robust filtered-x LMS algorithm for active vibration control
Author :
Yong Wang ; Zhihao Fu ; Xiaojian Li ; Jinwen Pan ; Shaoqing Chen
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, a new robust filtered-x LMS algorithm is proposed for active vibration control system. A Tracking-Differentiator filter and a non-linear transformation function are designed to process the reference and error signals respectively. The updating formula of the filter coefficients in the proposed algorithm is derived from a new minimization criterion that minimizes the Euclidean norm of difference between the currently innovation vector and past vector. Compared with the existed algorithms, the proposed algorithm is more robust against interference to reference signals. Numerical simulation results show the effectiveness of the algorithm.
Keywords :
interference (signal); least mean squares methods; tracking filters; vibration control; Euclidean norm; active vibration control system; error signal; filter coefficient; interference to reference signal; minimization criterion; nonlinear transformation function; numerical simulation; robust filtered-x LMS algorithm; tracking-differentiator filter; updating formula; Algorithm design and analysis; Force; Interference; Minimization; Noise; Robustness; Signal processing algorithms;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231563