DocumentCode :
691162
Title :
Proportional Solenoid Valve Flow Hysteresis Modeling Based on PSO Algorithm
Author :
Cai Sheng-Nian ; Li Hai-Yang ; Xu Cheng-Tao ; Pang Bao-Lin
Author_Institution :
Shenyang Inst. of Chem. Technol., Shenyang, China
fYear :
2013
fDate :
21-23 Sept. 2013
Firstpage :
1064
Lastpage :
1067
Abstract :
In order to solve the negative impact on the stability and control quality of the system which is caused by proportional solenoid valve flow hysteresis nonlinear, a nonlinear hysteresis mathematical model of the proportional solenoid valve was established for the needs of the nonlinear control in this paper. Aiming at the problems of the mechanism modeling and Preisach mathematics model modeling, a method of proportional solenoid valve flow hysteresis model based on experimental data has been proposed. Particle swarm optimization was introduced to optimize model parameters. In order to verify the effectiveness of this method, mat lab programming methods was introduced. Simulation results show that the particle swarm optimization algorithm to optimize the flow hysteresis model not only has a goodness of fit but also simple and practical. The model can be used for the feed forward control of the proportional solenoid valve to decrease or eliminate proportional solenoid valve flow hysteresis.
Keywords :
nonlinear control systems; particle swarm optimisation; solenoids; valves; Matlab programming methods; PSO algorithm; Preisach mathematics model modeling; control quality; mechanism modeling; model parameters; nonlinear control; nonlinear hysteresis mathematical model; particle swarm optimization; proportional solenoid valve flow hysteresis modeling; stability; Computers; Instruments; Flow hysteresis; Particle swarm optimization; curve fitting; parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/IMCCC.2013.236
Filename :
6840626
Link To Document :
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