Simulation of a paper mill wastewater treatment using a fuzzy neural network

Authors:
Huang Mingzhi;Yongwen Ma;Wan Jinquan;Wang Yan
Affiliations:
College of Environmental Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China;College of Environmental Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China;College of Environmental Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China;College of Environmental Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

This paper presents a fuzzy neural network predictive control scheme for studying the coagulation process of wastewater treatment in a paper mill. An adaptive fuzzy neural network is employed to model the nonlinear relationships between the removal rate of pollutants and the chemical dosages, in order to adapt the system to a variety of operating conditions and acquire a more flexible learning ability. The system includes a fuzzy neural network emulator of the reaction process, a fuzzy neural network controller, and an optimization procedure based on a performance function that is used to identify desired control inputs. The gradient descent algorithm method is used to realize the optimization procedure. The results indicate that reasonable forecasting and control performances have been achieved through the developed system.