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A TWO STAGE FUZZY MODEL FOR DOMESTIC WASTEWATER TREATMENT PLANT CONTROL

WASTEWATER TREATMENT PLANT (WWTP) . Improper operation of a WWTP may bring about serious environmental and public health problems, as its effluent to a receiving water body can cause or spread various diseasesTherefore the methods for proper operation and control of WWTPs become important.. Modeli

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A TWO STAGE FUZZY MODEL FOR DOMESTIC WASTEWATER TREATMENT PLANT CONTROL

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    1. A TWO STAGE FUZZY MODEL FOR DOMESTIC WASTEWATER TREATMENT PLANT CONTROL Sukran YALPIR and Esra YEL Selcuk University TURKEY sarici@selcuk.edu.tr

    2. WASTEWATER TREATMENT PLANT (WWTP) Improper operation of a WWTP may bring about serious environmental and public health problems, as its effluent to a receiving water body can cause or spread various diseases Therefore the methods for proper operation and control of WWTPs become important.

    3. Modeling a WWTP A better control of a WWTP can be achieved by developing a robust mathematical tool for predicting the plant performance based on past observations of certain key parameters. The complex physical, biological and chemical processes involved in wastewater treatment exhibit non-linear behaviors which are difficult to describe by linear mathematical models.

    4. ANFIS Nowadays, many studies based on intelligent methods were conducted in wastewater treatment about predictions of output parameters. Among these, neuro-fuzzy systems have found a wide range of industrial and commercial control applications that require analysis of uncertain and imprecise information ANFIS is based on the first-order Sugeno fuzzy model that uses either a back propagation algorithm alone or a hybrid learning algorithm. ANFIS networks have been successfully applied to classification tasks, rule-based process controls, pattern recognition problems and the like.

    5. Some models have been developed by using ANFIS for effluents only or for single parameter output for a particular treatment unit. For example: to aerobic biological treatment processes, for forecasting wastewater flow-rates, for water management in industrial anaerobic treatment units, for predicting carbon and nitrogen removal in the aerobic biological treatment unit for predicting effluent parameters in the hospital WWTP etc.

    6. Models considering the main treatment units separately and estimating multiple parameters have not been sufficiently developed yet. There is still no all-inclusive procedure or method to design such intelligent controllers by far because of its semi-empirical nature. Studies are generally based on two or three parameters input and single output. Therefore, the purpose is to infer the effluent parameter values from multiple input parameters for both subsystems such that the influent value of the second subsystem will be the output of the first one, and the output of the second subsystem will be the WWTP effluent quality.

    7. ANFIS1 model – Primary Treatment Subsystem ANFIS2 model – Secondary Treatment Subsystem.

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