The Design And Application Of Desulphurization Control System Based On PKS

FGD systems with strong coupling, uncertainty, nonlinear and large time lag characteristics, process control in a typical control object. Through the study of FGD control system can provide FGD control system in industrial process control theory and practical application of the guidance. This article does not solve the problems encountered control systems for thermal power plant flue gas desulfurization system comes with features and PKS library of algorithms, a fuzzy PID control system based on self-tuning, the main contents include the following areas:This paper introduces the domestic FGD system control development and status of technology and industry in several major control system is analyzed. Effect of desulfurization rate of FGD by analyzing the characteristics of each control system combined with industrial control systems of wet flue gas desulfurization process was related to the design, the various subsystems and process design were described, analyzed several important factor.Then the whole hardware structure FGD control system are analyzed, it describes how to configure the control system hardware selection and data points. According to the requirements of each control subsystem, using PKS system for each subsystem desulfurization control system was configured, we completed FGD control various subsystems specific control and design. It describes the FGD system controller principle and design, focusing on the control rules and fuzzy PID controller a fuzzy control rule table, using the error acceleration, variable domain of thought, self-propelled and controlled adjustment algorithm Sutoregression The average model design parameters desulfurization control system Fuzzy self-tuning PID controllers.Finally, the use of OPC technology to establish communication between MATLAB and PKS system, fast and accurate access to data FGD control system to achieve the control algorithm in PKS system. PID controller parameter self-tuning fuzzy PID controller and conventional fuzzy PID controller from the theoretical design to the final control results were compared. Experimental results show that the fuzzy self-tuning PID controller with respect to the conventional fuzzy PID controller system has a smaller overshoot, faster response and better robust stability.