DocumentCode :
524872
Title :
Intergrated optimization design for ultra-precision active vibration isolation platform based on the genetic algorithm
Author :
Yi, Zhang ; Min-Min, Xia ; Hu, Zhang ; Zi-Fan, Fang ; Da-lin, Zhu
Author_Institution :
Coll. of Mech. & Mater. Eng., China Three Gorges Univ., Yichang, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
3149
Lastpage :
3152
Abstract :
This paper presents an approach to integrate structural and control parameters optimization for an active vibration isolation system based on the elitist strategy genetic algorithm. This method, which takes the total weighted root mean square of the acceleration of isolation platform, the dynamic deflection of isolation system and the dynamic displacement of the base as optimization performance indicators, combines mechanical structure design and LQG controller design for integrated optimization of active vibration isolation system. The theoretical analysis and simulation results demonstrate that the method can effectively improve the isolation effect of active vibration isolation system.
Keywords :
control system synthesis; genetic algorithms; linear quadratic control; mean square error methods; vibration isolation; LQG controller design; elitist strategy genetic algorithm; integrated optimization design; mechanical structure design; total weighted root mean square; ultraprecision active vibration isolation platform; Algorithm design and analysis; Control systems; Design methodology; Design optimization; Diversity reception; Genetic algorithms; Optimal control; Signal design; Structural engineering; Vibration control; LQG control; active vibration isolation system; genetic algorithm; integrated optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535585
Filename :
5535585
Link To Document :
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