- Tytuł:
- Higher order fuzzy logic in controlling selective catalytic reduction systems
- Autorzy:
-
Niewiadomski, A.
Kacprowicz, M. - Powiązania:
- https://bibliotekanauki.pl/articles/201190.pdf
- Data publikacji:
- 2014
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
Selective Catalytic Reduction
SCR
air pollution
nitrogen oxides
adjustable air filter
ammonia valve
interval-valued fuzzy logic system
fuzzy controlling of air filter adjustments
type-2 fuzzy logic system
fuzzy implications
selektywna redukcja katalityczna SCR
zanieczyszczenia powietrza
tlenki azotu
regulowane filtry powietrza
zawór amoniaku
rozmyte kontrolowanie zmian filtra powietrza
typ-2 systemu logiki rozmytej
implikacja rozmyta - Opis:
- 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.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 4; 743-750
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł