Control of Oxygen Content in Boiler Furnace with Neuron PID and Its Simulation
A low oxygen content in the furnace of a coal-fired boiler can lead to insufficient combustion,while a high oxygen content can cause the supply air to take away more heat energy.Under a certain coal feeding speed,it is necessary to choose an appropriate air supply volume in order to maintain optimal combustion in the furnace.There-fore,the regulation and control scheme of air supply volume must be provided.For this reason,the nonlinear relation-ship between the oxygen content in the boiler furnace and the air supply was first modeled mathematically,and then the PID compensation control design was attempted.The root locus method was used to determine the gain that makes the closed-loop system stable In addition,an artificial neural network control scheme was adopted,and the results of the two methods were compared to verify the effectiveness of the artificial neural PID control.
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