| The control of boiler combustion system is the most important process control in the thermal power plant. The control quality of the three subsystem of boiler combustion control system is directly related to the safe and economic running of the power plant. But the controlled object of the boiler combustion system is a typical multivariable complex system, the effect of the routine PID control method that widely adopted in the domestic power plant is not satisfactory. So the fuzzy control theory , the neuron control theory and the hybrid control theory are introduced into the boiler combustion system in this paper.On the research of fuzzy control theory, the normal fuzzy controller and the intelligent weigh function fuzzy controller whose control rules can be adjusted are primarily studied in this paper; on the research of neuron control theory, the single neuron control theory is primarily studied, and the artificial neural network control theory is simply introduced in this paper; on the research of hybrid control theory, this paper studied the method to analyze the hybrid system by using Petri net to establish the model.On the research of computer simulation, the MATLAB software is fully utilized in this paper. The simulation models applying the above-mentioned control theories in the boiler combustion system are established in SIMULINK, the simulation curves are obtained and the simulation results are analyzed.On the project application, how the fuzzy-neuron control scheme realized by using XDPS-400 configuration software was put into practice in Shimen power plant in Hunan province is introduced in this paper. |