Virtual Prototype-based Modeling And Fault Simulation Software Platform Development Of Hydraulic AGC System

The hydraulic thickness control system(AGC),as the core system of large strip mill,is a typical complex system integrating rolling mill body,rolling process,strip material,hydraulic system,electrical system and control system.Although plate thickness control technology has been applied for many years,the technology of rolling down control of rolling mill is very wide,which involves many subject fields,and the problem is still large.The hydraulic AGC is composed of hydraulic system,control system,frame roller system,servo element and other auxiliary equipment.Whether the performance is good or bad directly affects the quality and efficiency of the strip production.Once the system fails,it will directly threaten the normal production of the mill,and even lead to the shutdown.Therefore,it is necessary to quickly determine the location of faults by studying the corresponding fault diagnosis,which has important practical significance.The fault model can be used to simulate the fault process by injecting the fault in the model,which can provide the basis for fault prediction and fault diagnosis.In this paper,the hydraulic system simulation software AMESim was used to establish the rolling mill system model,and the system visual interface was established by MATLAB / GUI software.The hydraulic system and the visual interface were organically integrated by means of programming.The parameters were set by the GUI interface to the hydraulic system The impact of the movement,compared to a single simulation software,the joint simulation is more efficient.Secondly,the dynamic response analysis of the system is carried out.By modifying the relevant parameters in the GUI interface,the fault parameters are injected into the system to simulate all kinds of failure of the system,and the dynamic response curves under different faults are analyzed and processed to provide the basis for the system failure prediction and diagnosis.Finally,support vector machine is applied to classify and diagnose the common faults of electro-hydraulic servo valve in HAGC system,and the training model is obtained through simulation data as input,and its validity is verified through test model.