Neural Network On‐Line Modeling and Controlling Method for Multi‐Variable Control of Wastewater Treatment Processes

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ABSTRACTA neural network on‐line modeling and controlling method (NNOMC) is proposed in this paper for multi‐variable control of wastewater treatment processes (WWTPs). According to the approximating character of the feedforward neural network (FNN), a modeling FNN is proposed to simulate and decouple WWTPs. Then, an FNN controller for multi‐variable control of WWTPs is designed. Moreover, the stability of the NNOMC method is proven in a general inference via the limitation of the learning rate of the FNN. Finally, this proposed NNOMC method is used in the international benchmark of WWTPs. The results show the NNOMC method owns both better approximating and controlling performance.