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Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process

Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
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Author(s): P. Mullai (Annamalai University, India), Eldon R. Rene (University of La Coruña, Spain), Hung Suck Park (Center for Clean Technology and Resource Recycling, University of Ulsan, South Korea) and P. L. Sabarathinam (Annamalai University, India)
Copyright: 2012
Pages: 19
Source title: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
Source Author(s)/Editor(s): Mohammad Ayoub Khan (Centre for Development of Advanced Computing, India) and Abdul Quaiyum Ansari (Jamia Millia Islamia, India)
DOI: 10.4018/978-1-4666-0294-6.ch011

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Abstract

The successful operation of a high-rate anaerobic reactor, up flow anaerobic sludge blanket (UASB) reactor depends on the prevailing physico-chemical and biological conditions during its operation. The wastewater characteristics and composition, the hydrodynamics of the process, and microbial activity are critical for achieving long term, optimal reactor performance. Modeling UASBs can be beneficial for design, prediction, and control purposes. This chapter provides sufficient background information on the different biochemical stages of anaerobic treatment, viz., hydrolysis of biodegradable solids, acetogenesis and methanogenesis, the working of a UASB reactor, and some insight into mechanistic modeling of UASBs. The application of neural networks, and a conceptual neural fuzzy model, i.e., adaptive network based fuzzy inference system (ANFIS), to model the performance of UASB is systematically outlined in this chapter.

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