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Dedicated type-2 fuzzy logic systems: a novel approach to DeNOx filtration systems

Niewiadomski A., Kacprowicz M.

Journal of Applied Computer Science

2018

Vol. 26, nr 2

117--130

The paper presents some novel research on applications of Type-2 Fuzzy Logic Systems to support the Selective Catalytic Reduction process (SCR). The aim of the research is to design and test higher order fuzzy logic systems and their genuine modifications to manage data in DeNOx systems responsible for controlling emission of nitrogen oxides (NO, NO2). Since in real applications, it is still performed under the supervision of a human expert, the scope is to replace, at least partially, his/her participation with dedicated type-2 fuzzy logic systems. As the result, it is shown that the proposed systems with new means of learning fuzzy IF-THEN rules allow us to compute parameters much closer to those determined by experts, even in a comparison to some earlier approaches based on traditional fuzzy logic.

Higher order fuzzy logic in controlling selective catalytic reduction systems

Niewiadomski A., Kacprowicz M.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2014

Vol. 62, nr 4

743--750

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.