DocumentCode :
3438163
Title :
Valve´s dynamic damping characteristics — Measurement and identification
Author :
Lai, Ru ; Liu, Xiangdong ; Wu, Guoqiang ; Chen, Zhen
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
970
Lastpage :
975
Abstract :
This paper proposes a novel method to test the dynamic damping characteristics of valve. The testing system employs the vertical movement pattern, and has a suspension support structure. Force sensors are installed to measure the dynamic friction of the working valve directly. Making use of LuGre friction model and both adaptive genetic algorithm and chaos particle swarm optimization algorithm, the valve´s dynamic damping parameters can be identified. Experiments have been carried out on a piston rod with a rubber ring and a steel cylinder. The results demonstrate the designed dynamic damping test system and the parameter identification algorithms are effective.
Keywords :
damping; dynamic testing; force sensors; friction; genetic algorithms; particle swarm optimisation; pistons; rings (structures); rods (structures); valves; LuGre friction model; adaptive genetic algorithm; chaos particle swarm optimization algorithm; dynamic damping characteristics; dynamic friction; force sensors; parameter identification algorithms; piston rod; rubber ring; steel cylinder; suspension support structure; testing system; valve; vertical movement pattern; Chaos; Damping; Dynamics; Friction; Genetic algorithms; Particle swarm optimization; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6161054
Filename :
6161054
Link To Document :
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