2020
DOI: 10.1177/0020294019881727
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A fast vibration-level adjustment method for low-frequency vibration calibration based on modified filtered-x least mean square algorithm

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 compo… Show more

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Cited by 8 publications
(3 citation statements)
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“…For the Fx-LMS with fixed step, the steady-state and convergence have restricted each other. To reduce the time of the vibration-level adjustment in low-frequency band, Li and Chen (2020) proposed a modified Fx-LMS algorithm. It does not require a pre-identification of the controlled system and has reduced calculated quantities.…”
Section: Introductionmentioning
confidence: 99%
“…For the Fx-LMS with fixed step, the steady-state and convergence have restricted each other. To reduce the time of the vibration-level adjustment in low-frequency band, Li and Chen (2020) proposed a modified Fx-LMS algorithm. It does not require a pre-identification of the controlled system and has reduced calculated quantities.…”
Section: Introductionmentioning
confidence: 99%
“…However, the low-frequency vibration of an electromagnetic standard vibration actuator (EVA) can generally be divided into three frequency bands of displacement characteristics, velocity characteristics, and acceleration characteristics, and the displacement feedback does not have the ability to effectively suppress waveform distortion in each frequency band (Zhang et al, 2017). Moreover, the time-domain feedback control (Chen and Liaw, 1999) and high harmonic active injection method (Li and Chen, 2020; Qiu et al, 2021), and modern control methods such as fuzzy control (Rana, 2011), robust control (Ito et al, 2000; Uchiyama et al, 2009), and x-filtered adaptive LMS algorithm (Li et al, 2022) have all achieved effective improvements of vibration waveforms. All the methods above are realized on the premise that there is an appropriate sensor capable of detecting low-frequency vibration.…”
Section: Introductionmentioning
confidence: 99%
“…A narrowband FxLMS algorithm (Kuo and Morgan, 1999) can be used to cancel the harmonics. However, one of the prominent drawbacks of the FxLMS algorithm in multiple narrowband disturbance cancellation is that two convolution operations of a high-order finite impulse response (FIR) filter must be carried out for each narrowband disturbance, which increases much computational consumption especially when the number of the harmonics is large (Li and Chen, 2020).…”
Section: Introductionmentioning
confidence: 99%