A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm. (March 2020)

• Record Type: Journal Article
• Authors: Li, Chao; Chen, Zhangwei
• Is Part Of: Measurement and control. Volume 53:Number 3/4(2020)
• Page Start: 328
• Page End: 338
• Publication Date: 2020-03
• Subjects: Low-frequency vibration calibration -- modified FxLMS algorithm -- vibration exciter -- online identification -- computational economy; Automatic control -- Periodicals; Engineering instruments -- Periodicals; Production engineering -- Periodicals; 629.8
• DOI: 10.1177/0020294019881727
• Languages: English
• ISSNs: 0020-2940

Abstract

Traditionally, successive approximation method is applied to the vibration-level adjustment of vibration calibration system, which leads to a time-consuming work for low-frequency vibration calibration. In this paper, a novel control method for low-frequency vibration calibration system is proposed based on adaptive filter. First, the problem of the traditional vibration-level adjustment for low-frequency signals is depicted. Then, an adaptive control algorithm is presented, in which the control input is composed of two weighted sinusoidal signals with a phase difference of 90°. The weighted vector is updated in real time using a modified filtered-x least mean square algorithm. Unlike filtered-x least mean square algorithm, the proposed modified filtered-x least mean square algorithm does not require a pre-identification of the controlled system and has a reduced computational complexity. The convergence property of the proposed method is analyzed in detail. Finally, the proposed method is implemented on a low-frequency vibration calibration system. Experimental results show that the proposed modified filtered-x least mean square algorithm can significantly reduce the time of the vibration-level adjustment in low-frequency band.