Development Of Wet Flue Gas Desulfurization Simulation System Based On PCS7Platform

In recent years, haze weather appears frequently, the air quality problem is serious, and the large-scale emission of SO2is the important cause of air pollution. The task of controlling the emission of sulfur-containing flue gas is urgent, wet flue gas desulfurization process is the most widely used and successful desulfurization technology at home and abroad. Laboratory combined with the actual to complete many wet flue gas desulfurization automation projects’design and implementation, and through in-depth study of wet gas desulfurization process, and combined with rich experience in industrial field to design the wet flue gas desulfurization simulation system based on Siemens PCS7fully integrated automation control platform.This paper explores the technology route and realization process of simulation system’development based on Siemens PCS7platform in-depth, including hardware system based on controller and model machine(PC Box), and software system based on WinAC (soft PLC) and PCS7industrial control software. Using a variety of modeling methods to create an object model:using SFC、SCL language to model; In PCS7, through WinAC ODK to integrate object model which is used high-level language such as C/C++to establish; using the seamless integration of WinAC and Matlab/Simulink to realize the modeling of complex object. According to the control requirements of process system, to design appropriate optimization control strategy, establish friendly operation monitoring and control interface, realize the communication between controller and model machine, and completing the establishment of simulation system.In the wet flue gas desulfurization process, for the simple process objects, such as temperature, level, flow, etc, it can use the system identification method to establish the simulation model by acquiring the experimental data of industrial step response; for the complex objects, to combine with the industrial fields’experimental data and expert knowledge, using the T-S fuzzy clustering modeling method to establish the T-S fuzzy model of the efficiency of absorption tower’s desulfurization and slurry PH value. Based on the system simulation model, the simulation system’s optimal control strategy is designed, to establish the basic level control loop which is given priority to parameter self-tuning PID control, and the optimization layer of desulfurization efficiency optimization control which is realized by model predictive control (MPC); complete the production of simulation system’ process monitoring picture, and build the complete wet flue gas desulfurization simulation system. Through the simulation of simulation system and the process parameters’ optimization control experiment, it shows that the simulation system’s simulation precision is high, meets the requirements, and good for personnel training and control research; for the adjustment of process parameters, basic level control and optimization control, it also achieve good results, and can provide reference and guidance for actual industrial control.