Research And Implementation Of Circulating Fluidized Bed Boiler Combustion System Optimized Control

Cycle fluidized bed(CFB)boiler combustion technology as a new type of combustion,because the combustion efficiency,fuel adapt a wide range,good load regulation performance,furnace organizations desulphurization,and many other advantages,so in the electricity,heating,steam production industry has been widely used.But the CFB boiler combustion system is the controlled object with distributed parameters,nonlinear,time-varying,large delay and multivariable coupling.combustion system is difficult to control,and the automation level is low.So the research on the optimal control of CFB boiler combustion system is of great practical significance.Firstly,the structure and combustion characteristics of CFB boiler combustion system are analyzed in this paper,its main characteristics include the large inertia,strong coupling,nonlinear,etc.,on the basis of these characteristics,the main thermal parameters of the combustion system control method is studied.Although the mechanism modeling technology has been very mature,but the model obtained by mechanism modeling is not suitable for the controller optimization.Therefore,before the design of control strategy for optimization,the system is modeled by using the unit history data and the simulation machine system.In view of the experimental modeling of the combustion control system is a complex optimization problem that needs to identify multi-dimensional variables,this paper adopts the ant colony optimization algorithm,which lays a good foundation for the experimental modeling.In the next work,according to the general method of experimental modeling,using the ant colony optimization algorithm to obtain the transfer function of the model,and to verify the validity of the model transfer function by using other data that is independent of the identification data.In the end,this paper is to control the bed temperature by using the primary air,regulating the supply of coal feeder speed is used to control the main steam pressure,in order to optimizes the SAMA diagram of the original bed temperature control loop and the main steam pressure control loop,and the principle of feedforward compensation control is applied to the control of the combustion system.In combination with the control scheme and identification of object model,the controller parameters are optimized by using the ant colony optimization algorithm.By comparing before and after optimization control effect,found that the optimized control system not only can improve the automation level of boiler control system,but also has important significance to improve the energy utilization efficiency.