Aeration intelligent control based on Neural Network PID

Abstract

PID intelligent aeration control based on neural network is proposed to solve the problems of nonlinearity and large time delay in the aeration process of sewage treatment, and the system parameters cannot be accurately obtained. Firstly, the output of the controller is the nonlinear combination of the system output error signal e (k), the integral of E (k) and the differential of E (k), which can effectively approximate the nonlinearity existing in the aeration process and make the control effect of the system better; Secondly, due to the learning ability of BP neural network, when the parameters of aeration process change, the control system can correct the system parameters and avoid the problem that PID controller cannot deal with the time-varying parameters. Finally, the simulation study based on the sewage treatment process shows the effectiveness of the controller.