Intelligent Control And Simulation Research Of Boiler Combustion System

The electricity power plays a more and more important role in our life. Power generation technology in china is still coal-fired power. The primary requirement of thermal power plant is Boiler safety and economic combustion. Only can we take actions make boiler safe and economical combustion, that we will save energy and reducing the cost of the plant. Moreover the emission of pollutants for environmental protection will be reduced. Especially in recent years the serious haze pollution, by the public and government attention to air pollution control, energy saving and environmental protection power plant becomes more and more important.The boiler combustion system is a complex system with multi input and multi output. The input variables are characteristic variables and strong coupling, nonlinear and delay. In addition due to depreciation of power plant equipment wear, and coal quality and other uncertain factors, the factory boiler parameter configuration has been difficult to achieve the ideal control effect. This problem most of the intelligent modeling method, based on the field data of a power plant using BP neural network modeling and analysis of boiler combustion system. But the BP neural network has its limitations, such as slow convergence speed, easy to fall into local extreme shortcomings, this paper uses genetic algorithm to optimize neural network. The genetic algorithm has strong global search ability, can be optimized using the BP neural network weights and threshold, the establishment of a more ideal model of GA-BP network. The modeling and simulation results show that using genetic algorithm to optimize BP neural network, very good to improve the convergence speed of the model and the precision of training, more accurately reflect the operating characteristics of the boiler combustion system.Finally, this article will also be on the boiler flue gas oxygen content control system simulation. The fuzzy PID control strategy, the control scheme mainly focuses on the oxygen content of flue gas circuit. The fuzzy control combined withthe traditional PID tuning, fuzzy PID controller, and make contrast with the traditional PID control system. Good simulation results show the superiority of fuzzy PID, achieve the purpose of optimization.