DocumentCode :
3101531
Title :
A Study About Fuzzy Control Algorithm Based on Neural Networks Forecast Model in Active Vibration Isolation Control System
Author :
Song, Renwang ; Chen, Linying
Author_Institution :
Dept. of Electron. & Inf. Eng., Tai Yuan Univ. of Sci. & Technol., Taiyuan, China
fYear :
2010
fDate :
26-28 Sept. 2010
Firstpage :
405
Lastpage :
408
Abstract :
The paper designs fuzzy active vibration isolation control algorithm base on neural networks forecast model. It can make forecast for the moving state of vibration isolation platform at the next moment according to output of controller and vibration isolation platform at the current moment. Input this state to fuzzy controller adopts feed-back mode. Fuzzy controller makes diagnosis in advance and controls the vibration isolation platform. The simulation result shows that the algorithm not only limits surge of control signal but also can restrains super high size and has favorable effects for low frequency vibration signal.
Keywords :
feedback; neurocontrollers; vibration isolation; feedback mode; fuzzy active vibration isolation control; fuzzy control algorithm; low frequency vibration signal; neural networks forecast model; Acceleration; Algorithm design and analysis; Artificial neural networks; Control systems; Force; Fuzzy control; Vibrations; Neural networks forecast; active vibration isolation; fuzzy control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
Type :
conf
DOI :
10.1109/CASoN.2010.98
Filename :
5636596
Link To Document :
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