Cfb Boiler Desulfurization System Modeling And Simulation Optimization Of The Control System

Circulating fluidized bed combustion technology is a kind of clean coal combustion technology, the technology has been widely promoted for its good economic benefit and environmental benefit. But the in-furnace desulfurization control system development is relatively backward. In today’s domestic and international situation, the traditional control mode can’t meet the requirement of the control. Circulating fluidized bed in-furnace desulfurization system is with the characteristics of pure delay, big inertia, parameter time-varying. It is difficult to realize real automatic control. And from 2011, the government environmental protection departments strengthen the control of pollutant discharge. It is imminent to upgrade the traditional control system of in-furnace desulfurizationBased on current Situation, this thesis introduces the reaction mechanism of circulating fluidized bed in-furnace desulfurization, analyzes the various affect factors of in-furnace desulfurization efficiency. And according to how much the factors influences on the desulfurization efficiency of the in-furnace desulfurization reaction, it selects the control parameter for control system. After adding the control parameters’step disturbances to the system, it establish experiment model respectively for the in-furnace desulfurization system in the application of exhaustion method and particle swarm method, according to the system response. And it provides the reference for the experiment modeling of circulating fluidized bed unit.According to experiment modeling model, this thesis optimizes the control of in-furnace desulfurization system in two aspects. Starting from the controller parameters optimization of the traditional control method, it is proposed in this thesis to optimize the traditional PID controller parameters in the application of particle swarm optimization method. It also provides the optimization simulation for the single conditions and all condition. Starting from the application of advanced control strategies, it proposed an adaptive internal model control algorithm, in the application of internal model control, fuzzy control, internal model PID equivalent. Based on this algorithm, it provide the control simulation for the in-furnace desulfurization process model.