Optimal Control of Influent Water Quality Disturbance in Wastewater Treatment Aeration Process

The instability of the contaminants in the influent water quality will affect the precision of the dissolving-oxygen control in the effluent process. Therefore, this paper carries out an in-depth study of this problem. Firstly, the correlation between each influent water quality and dissolved oxygen consumption in the aeration process is derived by analysing the influence of influent water quality on dissolved oxygen consumption; secondly, an optimisation model associating dissolved oxygen consumption and influent water quality in the aeration process is designed by adopting the optimisation prediction method of influent water quality in order to obtain the most optimal control strategy of the aeration process; lastly, the radial basis neural network regulation of the influent water quality interference optimisation Finally, the control of a proportional-integral-derivative (WQO-RBF -PID) controller optimised for influent water quality disturbances is implemented in a benchmark simulation model. The test results illustrate that the method can effectively suppress the influence of influent water quality on dissolved oxygen control and improve the dissolved oxygen control effect during the aeration process.