Recursive regression and Wiener deconvolution for coagulation optimization in water treatment plant
A coagulation optimization strategy was developed which utilizes the Wiener deconvolution filter to estimate steady steady values, and then updates the optimization model using recursive kernel regression. The regression based dose controller is capable of maintaining a target turbidity level with changing raw water conditions. Various pilot test experiments were performed to validate the effectiveness of the proposed strategy.
2016 IEEE International Conference on Digital Signal Processing (DSP)