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Frontiers of Mechanical Engineering

Front Mech Eng    2013, Vol. 8 Issue (2) : 109-117     https://doi.org/10.1007/s11465-013-0252-z
RESEARCH ARTICLE
Frequency domain active vibration control of a flexible plate based on neural networks
Jinxin LIU, Xuefeng CHEN(), Zhengjia HE
Key State Laboratory of Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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Abstract

A neural-network (NN)-based active control system was proposed to reduce the low frequency noise radiation of the simply supported flexible plate. Feedback control system was built, in which neural network controller (NNC) and neural network identifier (NNI) were applied. Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems. A pre-testing experiment of the control system on a real simply supported plate was conducted. The NN-based control algorithm was shown to perform effectively. These works lay a solid foundation for the active vibration control of mechanical structures.

Keywords active vibration control (AVC), neural network (NN), low frequency noise, frequency domain control      multi-frequency control     
Corresponding Author(s): CHEN Xuefeng,Email:Chenxf@mail.xjtu.edu.cn   
Issue Date: 05 June 2013
 Cite this article:   
Jinxin LIU,Xuefeng CHEN,Zhengjia HE. Frequency domain active vibration control of a flexible plate based on neural networks[J]. Front Mech Eng, 2013, 8(2): 109-117.
 URL:  
http://journal.hep.com.cn/fme/EN/10.1007/s11465-013-0252-z
http://journal.hep.com.cn/fme/EN/Y2013/V8/I2/109
Fig.1  Finite element model of the simply supported plate. (a) Element division of the plate under the global coordinate system ; (b) DOFs of the th element under the local coordinate system
Fig.2  Schematic diagram of the system. NNC: neural network controller; NNI: neural network identifier; F→T: frequency domain to time domain; T→F: time domain to frequency domain
Fig.3  Architecture of neural network controller
Fig.4  Architecture of neural network identifier
Fig.5  Flow diagram of the control system
Fig.6  Simulation result when = 0.1. (a) Target spectrum; (b) controlled spectrum; (c) error curve; (d) time domain amplitude of 10 Hz component; (e) time domain amplitude of 20 Hz component
Fig.7  Simulation result when = 0.01. (a) Target spectrum; (b) controlled spectrum; (c) error curve; (d) time domain amplitude of 10 Hz component; (e) time domain amplitude of 20 Hz component
Fig.8  Structure of the experiment system (notes: IPC stands for industrial personal computer; RVB stands for red vs blue; USB stands for universal serial bus; BNC stands for bayonet nut connector; VHDCI stands for very high density cable interconnect; VGA stands for video graphic array)
Fig.9  Result of the pre-testing experiment. (a) Target spectrum; (b) controlled spectrum; (c) error curve; (d) target wave; (e) controlled wave
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