DocumentCode :
3130494
Title :
Active vibration isolation system integrated optimization based on multi-objective genetic algorithm
Author :
Yi, Zhang ; Chao, Lu ; Hu, Zhang ; Jun, Han
Author_Institution :
Hubei Key Lab. of Hydroelectric Machinery Design & Maintenance, China Three Gorges Univ., Yichang, China
Volume :
1
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
258
Lastpage :
261
Abstract :
A dynamic model of active vibration isolation system is established, and on the basis a multi-objective model for active vibration isolation system is set up. The improved non-dominated sorting genetic algorithm has been adopted to do the optimization. The paper carries out performance active vibration isolation system integrated optimization. The results show that this way can effectively enhance effect of the active vibration isolation system.
Keywords :
genetic algorithms; vibration isolation; active vibration isolation system; improved nondominated sorting genetic algorithm; integrated optimization; multiobjective genetic algorithm; Acceleration; Actuators; Atmospheric modeling; Genetic algorithms; Optimization; Rubber; Vibrations; active vibration isolation system; integrated optimization; multi-objective;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6008007
Filename :
6008007
Link To Document :
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