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