Decentralized direct adaptive fuzzy-neural control of an anaerobic digestion bioprocess plant

Ieroham S. Baruch, Rosalba Galvan-Guerra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The paper proposed to use Fuzzy-Neural MultiModel (FNMM) identification and control system for decentralized control of distributed parameter anaerobic wastewater treatment digestion bioprocess, carried out in a fixed bed and a recirculation tank. The distributed parameter analytical model of the digestion bioprocess is reduced to a lumped system using the orthogonal collocation method, applied in three collocation points (plus the recirculation tank), which are used as centers of the membership functions of the fuzzyfied space variable of the plant. The states of the proposed FNMM identifier are implemented by a direct feedback-feedforward hierarchical FNMM controller. The comparative graphical simulation results of the digestion anaerobic system control, obtained via learning, exhibited a good convergence, and precise reference tracking outperforming the optimal control.

Original languageEnglish
Title of host publication2008 4th International IEEE Conference Intelligent Systems, IS 2008
Pages92-97
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 4th International IEEE Conference Intelligent Systems, IS 2008 - Varna, Bulgaria
Duration: 6 Sep 20088 Sep 2008

Publication series

Name2008 4th International IEEE Conference Intelligent Systems, IS 2008
Volume1

Conference

Conference2008 4th International IEEE Conference Intelligent Systems, IS 2008
Country/TerritoryBulgaria
CityVarna
Period6/09/088/09/08

Keywords

  • Anaerobic digestion bioprocess plant
  • Decentralized identification and control
  • Direct hierarchical fuzzy-neural multi-model control system
  • Distributed parameter system

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