Study On Application Of Dynamic Matrix Predictive Control Algorithm In Methanol Gasoline Production Process Control

Large-scale, complexity, high degree automation is an importantdevelopment trend in the modern industry. At present, industrial process isapproaching to more complicate. Equipment structure and production processbecome more complicate, and there are many demanding important controlcircuit. As a result, strong coupling, large time delay, nonlinear, many controltargets, hard to set up mathematical model and many uncertainty, a series ofthorny issues also emerge. Thus the higher control requirements, as highefficiency, safety, low cost and good quality, are put forward. The distributedcontrol system is the most widely used computer control system, whose corestill is simple PID algorithm, who can’t deal with the new problems exposing inmodern industrial production process. To satisfy the developing requires ofmodern industry, the paper focus on the improvement of algorithm usually usedin distributed control system, in order to improve modern industry control level.Analyzed and simulated the dynamic matrix predictive control algorithm inthe paper, compared its simulation result with conventional PID simulation,which reflected the DMC algorithm obvious advantage for solving large delayand strong coupling, nonlinear problems. Based on the methanol gasolineproject from Shaanxi Baojiang New Energy Limited Company, the designmethods and steps were put forward. The basic plan of advanced controlalgorithm used in distributed control system was discussed. And the DMCalgorithm was used in distributed control system. The results were as follows:(1) It analyzed the three characteristic of DMC (predictive model, rollingoptimization, feedback adjustment), introduced the essential characteristic andadvantage. Took single variable DMC algorithm as an example, simulated anddid research on it, and then contrasted the simulation result of DMC algorithm and PID algorithm.(2) PLC(Programmable Logic Controller) as the center of control systemand used Siemens STEP7software to complete the hardware configuration andprogram design of monitoring system of DCS. And Siemens WINCCconfiguration software was adopted to realize the system visualization operationand real-time monitoring.(3) In our country’s industrial field, advanced control algorithm couldn’t bewidely applied to the actual industrial process control. As to this problem, theresearch focused on how the advanced control algorithm was successfully usedin distributed control system. As Dynamic Matrix Predictive Control algorithmhad the high control precision, anti-interference, robustness and othercharacteristics, and considering the specific characteristics of the methanolgasoline project from Shaanxi Baojiang New Energy Limited Company,selected Dynamic Matrix Predictive Control algorithm and applied it inmethanol gasoline production process. It could obtain good control effect insimulation. So applied it to methanol gasoline production process controlsystem, and the control system simulation obtained a better effect, whichimproved the control level control.(4) According to the production requirements supplied by the methanolgasoline project, and through the overall system design, programming,debugging and so on, realized the tank farm high level warning, gasconcentration overrun alert sequence control, as well as to adjustable oil systemrealization of automatic harmonic proportion control task, ultimately runningsmoothly, achieved system control requirements.