Abstract
Diagnosis and control modules based on fuzzy set theory were tested for novel bioreactor monitoring and control. 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.
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.
| Original language | English |
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| Publication date | 2013 |
| Number of pages | 1 |
| 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 |
|---|---|
| Country/Territory | India |
| City | Mumbai |
| Period | 16/12/2013 → 18/12/2013 |