AUTHOR(S): Catalin Simion, Oana Chenaru, Gheorghe Florea, José Ignacio Lozano, Samir Nabulsi, Maria Reis, Joana Cassidy
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TITLE Decision Support System Based on Fuzzy Control for a Wastewater Treatment Plant |
ABSTRACT Because of existing uncertainties and non-linearity characteristics of wastewater plants, highly affected by the state of the bacteria involved in each stage, their real-time control must follow an adaptive control rule. This paper presents the control strategy and fuzzy logic rules for a two stage anaerobic wastewater treatment plant in the food sector. PH, temperature and NaOH are controlled in the acidogenic reactor, and a second stage for ph and temperature control takes place in the methanogenic. The solution was tested ina simulated environment and was implemented on a pilot plant on a S7-300 PLC using simple IF.. THEN rules. We connected the plant to a remote Decision Support System to perform better state analysis, process optimization and abnormal situation management. |
KEYWORDS wastewater, fuzzy control, remote control, supervisory decision |
REFERENCES [1] E. Heinzle, IJ. Dunn, GB. Ryhiner, Modelling and control of anaerobic wastewater treatment, Advanced Biochemical Engineering and Biotechnololgy, vol. 48, 1993, pp. 79–114. [1] E. Heinzle, IJ. Dunn, GB. Ryhiner, Modelling and control of anaerobic wastewater treatment, Advanced Biochemical Engineering and Biotechnololgy, vol. 48, 1993, pp. 79–114. |
Cite this paper Catalin Simion, Oana Chenaru, Gheorghe Florea, José Ignacio Lozano, Samir Nabulsi, Maria Reis, Joana Cassidy. (2016) Decision Support System Based on Fuzzy Control for a Wastewater Treatment Plant. International Journal of Environmental Science, 1, 344-349 |
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