Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Fuzzy Modelling of Air Preparation Stage in an Industrial Exhaust Air Treatment Process Linköping University Electronic Press Conference Proceedings
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Title:
Fuzzy Modelling of Air Preparation Stage in an Industrial Exhaust Air Treatment Process
Author:
Aleš Šink: Inea d.o.o., Slovenia Gašper Mušic: Faculty of Electrical Engineering, University of Ljubljana, Slovenia
DOI:
10.3384/ecp17142194
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
028
Pages:
194-200
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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The paper is focused on practical aspects of advanced nonlinear identi?cation method applied to a real industrial process. Fuzzy identi?cation is used to model the air preparation stage within a system for reducing nitrogen oxides (NOx) emissions in exhaust air from the dryers and ovens in a factory of automotive catalytic converters. The system for NOx emissions reduction operates ef?ciently in predetermined temperature and air ?ow ranges of the exhaust air only. Due to those conditions, exhaust air from the dryers and ovens must be prepared in advance by controlling the ventilator speed and fresh air and exhaust air dampers positions. At the same time operating conditions of dryers and ovens have to be maintained within de?ned ranges. Currently used control system of the exhaust air preparation shows some de?ciencies, so a feasibility study of possible improvements has been carried out. Modelling presented in this paper has been used to evaluate and compare control solutions. The results show such an improvement is feasible. The proposed control system can be ready for implementation in the real process with minor changes of the controller parameters and supervisory logic settings.

Keywords: fuzzy logic, Takagi-Sugeno model, catalytic converter, emission reduction, process control

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Aleš Šink, Gašper Mušic
Title:
Fuzzy Modelling of Air Preparation Stage in an Industrial Exhaust Air Treatment Process
DOI:
http://dx.doi.org/10.3384/ecp17142194
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Aleš Šink, Gašper Mušic
Title:
Fuzzy Modelling of Air Preparation Stage in an Industrial Exhaust Air Treatment Process
DOI:
https://doi.org10.3384/ecp17142194
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


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Last updated: 2019-10-02