A harmonic suppression method for low-frequency electromagnetic vibrators

Author:

Gao Yu1ORCID,Zhou Jie1,He Wen1

Affiliation:

1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Institute of Manufacturing Technology and Automation, Zhejiang University, Hangzhou, Zhejiang, China

Abstract

Due to various nonlinear factors in an ordinary electromagnetic vibrator, the distortion of its output vibration waveform will always happen, especially at low frequencies (≤20 Hz), which blocks its application in a lot of area. To improve the acceleration waveform precision and reduce distortions at low frequencies, a waveform harmonic suppression method for low-frequency electromagnetic vibrators is proposed. After extracting the harmonic components in the output acceleration waveforms, a digital composite signal with harmonic compensation components is prospected according to the frequency response characteristic of the vibrator, and then sent back to drive the vibrator, which results in that the harmonic components in the formal waveform is suppressed. The proposed method was verified by simulations and experiments, and results show that the total harmonic distortions (THDs) of accelerations are reduced effectively at low frequencies, typically from 23% to less than 2% at the frequency as low as 0.1 Hz. The method is stable and robust because there is no real-time feedback loop in the system.

Funder

the National Key R&D Program of China

the National Natural Science Foundation of China

National Natural Science Foundation of China

the Yuandu Industry Leading Talents Project in 2017

Publisher

SAGE Publications

Subject

Mechanical Engineering

Reference23 articles.

1. Wen H, Chunpeng Z, Fai M. Realization of low-distortion ultra-low-frequency vibration based on feedback control technology. In: IEEE networking, sensing and control proceedings, 2005.

2. Fuzzy control of an electrodynamic shaker for automotive and aerospace vibration testing

3. Fractional Sliding Mode Control for Micro Gyroscope Based on Multilayer Recurrent Fuzzy Neural Network

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