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Control Method And Application Research Of The Coarse Slime Separation System

Posted on:2018-08-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y X WangFull Text:PDF
GTID:2321330539975252Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Teetered Bed Separator(TBS)is a neotype equipment for coarse slime separation based on settlement principles.It is widely used in coarse slime separation system because of its simple structure and excellent separation efficiency.As the most important factor in coarse slime separation,the variation of TBS disturbed bed density has a direct influence on the separation efficiency and quality of coal products.Therefore,it is particularly important to control the bed density of TBS disturbed bed density.The coarse slime separation system is an uncertain system with high nonlinearity,time-varying,large lag and strong coupling.Therefore,it is difficult to establish the exact mathematical model for the object.The traditional control methods have shown shortcomings in control speed and precision for complex system like these.Model-free adaptive control(MFAC)does not depend on the mathematical model of controlled object.An improved MFAC based on PSO is applied to the coarse slime separation in this paper.The controlled object is determined by analyzing the main influencing factors of TBS.Then,the overall control scheme is built focused on Siemens S7-200 PLC.The MFAC controller is also designed and developed on the basis of MFAC theoretical knowledge,and then compared with PID and Fuzzy-PID algorithm in tracking performance,adaptability and anti-interference ability.As the same time,Anti-delay MFAC(ADMFAC)controller is designed to solve the delay problem of MFAC.Step sequencek? and weight fctor? are the most important parameters affecting the ADMFAC performance.In order to further improve the control performance of ADMFAC,particle swarm optimization algorithm(PSO)is used to set these parameters.Thus,the PSO-ADMFAC controller results in the optimal combination ofk? and? is obtained to achieve the best control performance of ADMFAC.The experiment platform of coarse slime separation system is built based on hardware foundation and the control strategy.PLC hardware configuration and programming are realized in STEP7 Micro WIN.Control algorithm program is completed in MATLAB.PC monitoring interface is designed based on Kingview.The HMI interface of touch screen is designed by DOPSoft,which is used as the local monitoring station.Integrating the PC configuration software and control algorithm effectively by OPC technology achieves the data exchange between MATLAB and Kingview.
Keywords/Search Tags:coarse slime separation, model-free adaptive control, particle swarm optimization algorithm, OPC technology
PDF Full Text Request
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