机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
17期
167-171
,共5页
比例电磁阀%流量滞环%机制建模%粒子群优化算法%神经网络
比例電磁閥%流量滯環%機製建模%粒子群優化算法%神經網絡
비례전자벌%류량체배%궤제건모%입자군우화산법%신경망락
Proportional solenoid valve%Flow hysteresis%Mechanism modeling%Particle swarm optimization algorithm%Neural network
针对工业上广泛使用的比例电磁阀所存在的滞环曲线等问题造成的系统稳定性和控制品质的不利影响进行了研究,采用机制建模、基于PSO算法曲线参数辨识的建模以及基于神经网络的曲线拟合3种方法进行滞环曲线建模,并利用Matlab软件得到3种建模结果,对3种建模方法得到的建模结果与实测数据进行分析比较。结果表明:采用PSO曲线参数辨识方法最能表示实际滞环曲线,且该建模方法简单实用;该模型可用于对比例电磁阀的前馈控制,以达到减小或消除比例电磁阀流量滞环的目的。
針對工業上廣汎使用的比例電磁閥所存在的滯環麯線等問題造成的繫統穩定性和控製品質的不利影響進行瞭研究,採用機製建模、基于PSO算法麯線參數辨識的建模以及基于神經網絡的麯線擬閤3種方法進行滯環麯線建模,併利用Matlab軟件得到3種建模結果,對3種建模方法得到的建模結果與實測數據進行分析比較。結果錶明:採用PSO麯線參數辨識方法最能錶示實際滯環麯線,且該建模方法簡單實用;該模型可用于對比例電磁閥的前饋控製,以達到減小或消除比例電磁閥流量滯環的目的。
침대공업상엄범사용적비례전자벌소존재적체배곡선등문제조성적계통은정성화공제품질적불리영향진행료연구,채용궤제건모、기우PSO산법곡선삼수변식적건모이급기우신경망락적곡선의합3충방법진행체배곡선건모,병이용Matlab연건득도3충건모결과,대3충건모방법득도적건모결과여실측수거진행분석비교。결과표명:채용PSO곡선삼수변식방법최능표시실제체배곡선,차해건모방법간단실용;해모형가용우대비례전자벌적전궤공제,이체도감소혹소제비례전자벌류량체배적목적。
Aiming at the proportional solenoid valves widely used in industry,the system stability and control quality of the nega-tive impact,which caused by hysteresis curve that existed in the valves,were studied. By using of mechanism modeling,curve param-eter identification based on Particle Swarm Optimization (PSO)algorithm modeling and neural network curve fitting of three methods, modeling was done for hysteresis curve,and three modeling results were gotten by using Matlab software. The modeling results obtained by the three methods were analyzed and compared with the practical measured data. The results show that to determine curve parameter identification based on PSO algorithm modeling do best to represent the actual hysteresis curve. This method is simple and practical. The model can be used for the feed-forward control of the proportional solenoid valve,for the purpose of decrease or eliminate flow hys-teresis of the valve.