Higher order fuzzy logic in controlling selective catalytic reduction systems
Brak miniatury
Data
2014
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Division IV: Engineering Sciences of the Polish Academy of Sciences
Polska Akademia Nauk, Wydział IV Nauk Technicznych
Polska Akademia Nauk, Wydział IV Nauk Technicznych
Abstrakt
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.
Opis
Słowa kluczowe
Selective Catalytic Reduction (SCR), air pollution, nitrogen oxides, adjustable air filters, ammonia valve, interval-valued fuzzy logic system, fuzzy controlling of air filter adjustments, type-2 fuzzy logic system, fuzzy implications
Cytowanie
Bulletin of the Polish Academy of Sciences Technical Sciences, Vol. 62, Issue 4, Pages 743–750