Simulation and Experimental Investigation of Structural Dynamic Frequency Characteristics Control

Sensors

Xingwu Zhang¹  Xuefeng Chen¹  Shangqin You²  Zhengjia He¹ 

[1] State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China; E-Mails:;System Engineering Research Institute, Beijing 100094, China; E-Mail:

关键词: active control;    dynamic frequency characteristics;    neural network;    simulation;    experiment;   

DOI  :  10.3390/s120404986

来源: mdpi

【 摘 要 】

In general, mechanical equipment such as cars, airplanes, and machine tools all operate with constant frequency characteristics. These constant working characteristics should be controlled if the dynamic performance of the equipment demands improvement or the dynamic characteristics is intended to change with different working conditions. Active control is a stable and beneficial method for this, but current active control methods mainly focus on vibration control for reducing the vibration amplitudes in the time domain or frequency domain. In this paper, a new method of dynamic frequency characteristics active control (DFCAC) is presented for a flat plate, which can not only accomplish vibration control but also arbitrarily change the dynamic characteristics of the equipment. The proposed DFCAC algorithm is based on a neural network including two parts of the identification implement and the controller. The effectiveness of the DFCAC method is verified by several simulation and experiments, which provide desirable results.

【 授权许可】

CC BY   
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