Adaptive control algorithm of multi-frequency fluctuating line spectra and experiment

被引:0
|
作者
Gao W. [1 ]
He G. [1 ]
Liu S. [1 ]
机构
[1] College of Power Engineering, Naval University of Engineering, Wuhan
来源
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | 2021年 / 53卷 / 01期
关键词
Dmey wavelet basis; Improved wavelet packet decomposition algorithm; Multi-frequency fluctuant line spectra; Variable-step; Vibration control;
D O I
10.11918/201912056
中图分类号
学科分类号
摘要
The active vibration isolation control problem under multi-frequency fluctuant line spectrum excitation was studied, and an improved wavelet packet adaptive control algorithm was proposed. It was difficult for traditional adaptive algorithms to control multi-frequency line spectra at the same time. Narrowband filtering algorithms also could not achieve good effect under fluctuant frequency excitation. Therefore, the wavelet packet decomposition algorithm was introduced to the control algorithm to divide the signal into equally spaced frequency bands. And then, a parallel control strategy was adopted to control multi-frequency line spectrum. The influence of different wavelet basis functions on signal decomposition was analyzed, and the optimal wavelet basis was determined. Aimed at the problems caused by the virtual line spectrum and too many sub-bands, the wavelet packet decomposition algorithm was improved to reduce the calculation amount and eliminate the virtual line spectrum in the sub-band. An independent step size was set for each sub-band, and modified according to the tongue-line function. The control system was build to carry out experiment. The results showed that the improved wavelet packet adaptive algorithm proposed in this paper can achieve good control effect under multi-frequency fluctuant line spectrum excitation, and the vibration energy of line spectrum was significantly reduced. © 2021, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.
引用
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页码:168 / 175
页数:7
相关论文
共 15 条
  • [1] (2003)
  • [2] FULLER C R, ELLIOTT S J, NELSON P A., Active control of vibration, (1996)
  • [3] CHEN Shaoqing, WANG Yong, WEI Cuican, Et al., An active vibration isolation control method under excitation of multi-line spectra, Journal of Shock and Vibration, 31, 23, (2012)
  • [4] SUN H L, ZHANG P Q, GONG X L, Et al., A novel kind of active resonator absorber and the simulation on its control effort[J], Journal of Sound and Vibration, 300, 2, (2007)
  • [5] SNYDER S D., The effect of transfer function estimation errors on the filtered-x LMS algorithm, IEEE Trans Signal Process, 42, 4, (1994)
  • [6] DALEY S, JOHNSON F A, PEARSON J B, Et al., Active vibration control for marine application, Control Engineering Practice, 12, (2004)
  • [7] AN Fengyan, SUN Hongling, LI Xiaodong, Et al., Optimization of parameters in decentralized adaptive control algorithm, Journal of Vibration Engineering, 26, 1, (2013)
  • [8] ZHAO Hongliang, Theoretical and experimental research on control algorithm of active noise control based on frequency-selected filter, (2004)
  • [9] JEON H J, CHANG T G, YU S, Et al., A narrowband active noise control system with frequency corrector, IEEE Transactions on Audio, Speech, and Language Processing, 19, 4, (2011)
  • [10] ZHANG Zhiyi, WANG Junfang, ZHOU Jianpeng, Et al., A adaptive vibration control with tracking filters, Journal of Shock and Vibration, 28, 2, (2009)