A fuzzy-logic based diagnosis and control of a reactor performing complete autotrophic nitrogen removal

Miguel Mauricio Iglesias, Anna Katrine Vangsgaard, Krist Gernaey, Gürkan Sin

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Abstract

This contribution explores the use of diagnosis and control modules based on fuzzy set theory and logic for bioreactor monitoring and control. With this aim, two independent modules were used jointly to carry out first the diagnosis of the state of the system and then use transfer this information to control the reactor. The
separation in diagnosis and control allowed a more intuitive design of the membership functions and the production rules. Hence, the resulting diagnosis-control module is simple to tune, update and maintain while providing a good control performance. In particular the diagnosis-control system was designed for a complete autotrophic nitrogen removal process. The whole module is evaluated by dynamic simulation. Additionally, the diagnosis tool was demonstrated by analysis 100 days of experimental data.
Original languageEnglish
Title of host publicationProceedings of the 12th IFAC Symposium on Computer Applications in Biotechnology
PublisherElsevier
Publication date2013
Pages205-210
ISBN (Print)9781632662910
Publication statusPublished - 2013
EventCAB 2013 : 12th IFAC Symposium on Computer Applications in Biotechnology - Mumbai, India
Duration: 16 Dec 201318 Dec 2013

Conference

ConferenceCAB 2013
Country/TerritoryIndia
CityMumbai
Period16/12/201318/12/2013
SeriesIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume12
ISSN1474-6670

Keywords

  • Fuzzy logic
  • Control
  • Diagnosis
  • Biological wastewater treatment
  • Nitrogen removal

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