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Research On Force Track Electro-hydraulic Servo System Based On Labview

Posted on:2014-12-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y J HuangFull Text:PDF
GTID:2268330422950560Subject:Fluid Machinery and Engineering
Abstract/Summary:PDF Full Text Request
Hydraulic systems are important actuators in modernindustry, principally becausethey have a high power/mass ratio, fast response, and high stillness: a combinationunmatched by any other commercial technology.Force and pressure tracking which is animportant part of hydraulic system are widely used in some applications.Many researches and applications show the limit of force trackingelectro-hydraulic system. And as development of the modern industry, the task and theenvironments of the electro-hydraulic system become more and more complex andsevere. Therefore, investigating the control of forceoutputs of hydraulic actuators shouldbe of great interestto both the academic and industrial fields.In this paper, single neural elements self-adaptive PID controller and fuzzy PIDcontroller will be used for the control of the system based on application of theelectro-hydraulic system. First, the nonlinear model of systems will be established. Then,the simulation model is created by LabVIEW softwareandsimulation will show theimpact of parameters varyingof the system. After that both the contrastsandanalysis willbe giving when singleneural elements self-adaptive PID controller and fuzzy PIDcontroller are used in the control system.Analyses show that both the two controller can improvesystemperformance.However, the single neural elements self-adaptive PID is not ableto reducetheimpact of parameters on the system and the fuzzy PID controller works.At last, measurement and control system is programmed for the test bed ofelectro-hydraulic system which choosesFuzzy PID as the controller. The results of theexperiment prove the conclusion of the simulation to be true. And the fuzzy PIDcontroller can improve systemperformance and reduce the impact of parameters on thesystem.
Keywords/Search Tags:electro-hydraulic system, fuzzy PID controller, single neural elements self-adaptive PID controller, nonlinear model, LabVIEW
PDF Full Text Request
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