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Neural networks based optimum coagulation dosing rate control applied to water purification system

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3 Author(s)
Hua Bai ; Sch. of Mechatronics Eng., Harbin Inst. of Technol., China ; Lixin Gao ; Guibai Li

By the analysis of coagulant dosing rate and its influencing factors, the neural network predicting theory was introduced into the water treatment technology creatively and a predicting model of coagulant dosing rate was established. The test results obtained indicate that this model is adaptive and its self-learning ability is effective. The prediction results' accuracy can be markedly improved by the neural network's online self-learning. The online predictive control of coagulant dosing rates can be achieved by using this model, and presents an effective way for the realization of optimal coagulant dosing rates.

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Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on  (Volume:2 )

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