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.
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 language | English |
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Title of host publication | Proceedings of the 12th IFAC Symposium on Computer Applications in Biotechnology |
Publisher | Elsevier |
Publication date | 2013 |
Pages | 205-210 |
ISBN (Print) | 9781632662910 |
Publication status | Published - 2013 |
Event | CAB 2013 : 12th IFAC Symposium on Computer Applications in Biotechnology - Mumbai, India Duration: 16 Dec 2013 → 18 Dec 2013 |
Conference
Conference | CAB 2013 |
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Country/Territory | India |
City | Mumbai |
Period | 16/12/2013 → 18/12/2013 |
Series | IFAC Proceedings Volumes (IFAC-PapersOnline) |
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Volume | 12 |
ISSN | 1474-6670 |
Keywords
- Fuzzy logic
- Control
- Diagnosis
- Biological wastewater treatment
- Nitrogen removal