A novel dissolve oxygen control method based on fuzzy neural network

In the wastewater treatment processes (WWTPs), the oxygen transfer is a nonlinear and large time-delay process, which makes the dissolved oxygen (DO) concentration difficult to control. In this paper, a novel kind of control method based on fuzzy neural network (FNN) is proposed for controlling DO concentration. The parameters of the neural network were adjusted online through the gradient descent algorithm to get the minimum error. Finally, the simulation results in Benchmark Simulation Model No.1 (BSM1) show that the proposed fuzzy neural network controller has better adaptability than some other existing methods.