Higher order fuzzy logic in controlling selective catalytic reduction systems

This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research...

Full description

Saved in:
Bibliographic Details
Published in:Bulletin of the Polish Academy of Sciences. Technical sciences 2014-12, Vol.62 (4), p.743-750
Main Authors: Niewiadomski, A., Kacprowicz, M.
Format: Article
Language:English
Subjects:
adjustable air filters
air pollution
Ammonia
ammonia valve
Control systems
fuzzy controlling of air filter adjustments
fuzzy implications
Fuzzy logic
Fuzzy set theory
interval-valued fuzzy logic system
Nitrogen dioxide
Nitrogen oxides
Selective catalytic reduction
Selective Catalytic Reduction (SCR)
type-2 fuzzy logic system
Valves
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research is to control an SCR system responsible for emission of nitrogen oxide (NO) and nitrogen dioxide (NO2) to the air, using SCR with ammonia (NH3). There are two higher-order fuzzy logic systems presented, applying interval-valued fuzzy sets and type-2 fuzzy sets, respectively. Fuzzy sets and higher order fuzzy sets describe linguistically levels of nitrogen oxides as the input, and settings of ammonia valve in the air filter as the output. The obtained results are consistent with data provided by experts. Besides, we show that the type-2 fuzzy logic controllers allows us to obtain results much closer to desired parameters of the ammonia valve, than traditional FLS.
ISSN:2300-1917
0239-7528
2300-1917
DOI:10.2478/bpasts-2014-0080