Research On Intelligent Optimization Control Of Boiler Furnace Pressure

With the development of society and economy, the demand for electricity isincreasing. The main source of electricity is coal-fired power, subject to the impact ofthe control strategy and production equipment, the low of boiler combustion systemoverall combustion efficiency. Today, haze produce adverse effects on people’s lives,more and more attention to the country’s energy saving production processes. If wewant to reduce the environmental pollution caused by burning, the existing controlstrategies must be optimized.In this paper, the boiler combustion system in furnace pressure as the researchobject, based on fuzzy neural network PID control system, to achieve effectivecontrol of the furnace pressure. First, to establish the corresponding mathematicalmodel based on the principle of negative pressure chamber; secondly, according to amathematical model to develop appropriate control program. In order to analyze thecharacteristics and advantages of the various control methods, we were on the systemby MATLAB conventional PID control, fuzzy PID control model and neural networkPID control building and simulation, and achieved good optimization control results.Then, on the basis of the above work, proposed and constructed based on standardPID fuzzy neural network controller. This controller combines the advantages offuzzy control and neural network control. Finally, the controller is applied to thefurnace pressure control system. Through simulation software to achieve the desiredcontrol effect, shows its superiority. Therefore, the integration of fuzzy control andneural network control, there will be good prospects.