Analysis and implementation of improved multi‐input multi‐output filtered‐X least mean square algorithm for active structural vibration control. Issue 11 (22nd January 2013)

• Record Type: Journal Article
• Authors: Huang, Quanzhen; Zhu, Xiaojin; Gao, Zhiyuan; Gao, Shouwei; Jiang, Enyu
• Is Part Of: Structural control and health monitoring. Volume 20:Issue 11(2013)
• Page Start: 1351
• Page End: 1365
• Publication Date: 2013-01-22
• Subjects: Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1002/stc.1541
• Languages: English
• ISSNs: 1545-2255

Abstract

<abstract abstract-type="main"> <title>ABSTRACT</title> <p>An improved multi‐input multi‐output filtered‐X least mean square‐based vibration control algorithm is proposed to solve the reference signal extraction problem for active vibration control system. The reference signal is constructed by the controller parameters and the vibration residual signal extracted directly from the vibrating structure, which is related to the external disturbance signal. Meanwhile, an FIR filter is adopted for online identification by adding white noise signal to the controller output as identification input signal; the identified model is substituted into the control algorithm, and the online secondary path identification is realized. Thus, the practical application problem of filtered‐X least mean square algorithm is solved. The simulations and experiments show that the proposed algorithm is reliable and effective with good control performance. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>