OPTIMAL CONTROL OF AIR TO FUEL RATIO BASED ON RECURRENT NEURAL NETWORK ABOUT ELMAN

Good air to fuel ratio can improve combustion efficiency and achieve optimal combustion.An optimal control strategy based on recurrent neural network about Elman is presented,in which an approach getting an optimal air to fuel ratio is given. Finally, the good control results were obtained when the control scheme was applied to a reheating furnace.It proved to be having higher application value.