Higher order fuzzy logic in controlling selective catalytic reduction systems

dc.contributor.authorNiewiadomski, Adam
dc.contributor.authorKacprowicz, Marcin
dc.date.accessioned2016-02-03T11:28:07Z
dc.date.available2016-02-03T11:28:07Z
dc.date.issued2014
dc.description.abstractThis 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.en_EN
dc.identifier.citationBulletin of the Polish Academy of Sciences Technical Sciences, Vol. 62, Issue 4, Pages 743–750
dc.identifier.urihttp://hdl.handle.net/11652/1073
dc.identifier.urihttp://www.degruyter.com/view/j/bpasts.2014.62.issue-4/bpasts-2014-0080/bpasts-2014-0080.xml?format=INT
dc.language.isoenen_EN
dc.publisherDivision IV: Engineering Sciences of the Polish Academy of Sciencesen_EN
dc.publisherPolska Akademia Nauk, Wydział IV Nauk Technicznychpl_PL
dc.relation.ispartofseriesBulletin of the Polish Academy of Sciences Technical Sciences, Vol. 62, Issue 4, 2014
dc.subjectSelective Catalytic Reduction (SCR)en_EN
dc.subjectair pollutionen_EN
dc.subjectnitrogen oxidesen_EN
dc.subjectadjustable air filtersen_EN
dc.subjectammonia valveen_EN
dc.subjectinterval-valued fuzzy logic systemen_EN
dc.subjectfuzzy controlling of air filter adjustmentsen_EN
dc.subjecttype-2 fuzzy logic systemen_EN
dc.subjectfuzzy implicationsen_EN
dc.titleHigher order fuzzy logic in controlling selective catalytic reduction systemsen_EN
dc.typeArtykułen_EN

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