Neural model for biological and chemical transformation in sewage treatment plant

In the work issues related to modeling of the biological-chemical wastewater treatment plant are presented. A commonly-used control strategy including model predictive control of the wastewater treatment plant are presented. Then a model of biological and chemical transformations AMS1 is described and its limitations are pointed out. Then the feed-forward neural networks are introduced. The performance of the obtaining models are shown and discussed. The designed models can be used in the model predictive control structure (MPC) of the savage treatment plant and ensure the optimal control of the electrical blowers.