Study On The Control Strategy Of Furnace Temperature Of Incinerator

Furnace temperature is an important parameter of incinerator combustion control system. Maintaining its normal and stable temperature is the key to the stable and economic operation of incinerator,the insurance of the effect of waste combustion and the restraint of pollutions. In this paper,the automatic combustion control system(ACC) of incinerator was studied,and a fuzzy neural network was proposed to control the furnace temperature of incinerator,which is based on the instability parameter and difficult building math model and the discussing the characteristic of fuzzy control technique and artificial neural network.By making use of the Matlab,the simulation results were satisfaction.The results indicated that the control quality, the speediness and the robustness of fuzzy neural network control system are all superior to the general PID and fuzzy control system.