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Vol: 52(66) No: 2 / June 2007 Fuzzy Modeling for an Anaerobic Tapered Fluidized Bed Reactor Zsolt Csaba Johanyak Department of Information Technology, Kecskemet College, GAMF Faculty, Izsaki ut 10, H-6000 Kecskemet, Hungary, phone: (36-76) 516-413, e-mail: johanyak.csaba@gamf.kefo.hu, web: http://www.johanyak.hu Rangasamy Parthiban Department of Chemical Engineering, Sri Venkateswara College of Engineering Sriperumbudur, 602 105, Tamilnadu, India, phone: (91-44) 27162530, e-mail: parthi@svce.ac.in, web: http//www.svce.ac.in/~parthi Ganesan Sekaran Department of Environmental Technology, Central Leather Research Institute, 600 020 Adyar, Chennai, India, phone: (91-44) 2441-0232, e-mail: ganesansekaran@hotmail.com, web: http://clri.org/staff/DrSekaran.htm Keywords: fuzzy modeling, FRIPOC, Anaerobic Tapered Fluidized bed Reactor, OLR, COD, BOD, pH. Abstract Fuzzy modeling has great adaptability to the variations of system configuration and operation conditions. This paper investigates the fuzzy modeling of a laboratory scale system of anaerobic tapered fluidized bed reactor (ATFBR). The studied system is the anaerobic digestion of synthetic wastewater derived from the starch processing industries. The experiment was carried out in a mesophilic ATFBR reactor with mesoporous granulated activated carbon as bacterial support. The fuzzy system was generated and trained by a modified version of the Projection based Rule Extraction (PRE) method using the obtained experimental data, and it applies the inference technique Fuzzy Rule Interpolation based on Polar Cuts (FRIPOC). The output parameters predicted by the tuned system have been found to be very close to the corresponding experimental ones and the model was validated by replicative testing. References P. Baranyi, L. T. Koczy, and T.D.Gedeon, “A generalized concept for fuzzy rule interpolation”, IEEE Trans. on Fuzzy Systems, vol. 12, No. 6, pp 820-837, 2004. 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