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