Disturbance Compensation Control of SCR Denitration based on Mutual Information and PID Neural Network

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Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power


The Selective catalytic reduction (SCR) denitration system is very complex and has the characteristics of strong disturbance and uncertainty.Based on mutual information and PID neural network,a disturbance compensation control method for SCR denitration system was proposed in this paper.The disturbance observer was constructed by using the PID feedforward neural network to approximate the inverse of the controlled plant.The disturbance observer was used to compensate the control system in order to eliminate the disturbance in advance.The mutual information between observation disturbance and system disturbance was selected as the objective function,and the improved imperialist competitive algorithm was used to optimize the parameters of PID neural network.The robust PID controller was designed to overcome the uncertainty of the controlled plant.The simulation results show that the method has outstanding disturbance rejection performance and good robustness,and the control performance is better than that of the general PID control.

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