A Soft Sensor development for the Estimation of Benzene Content in Catalytic Reformate (CROSBI ID 587342)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ujević Andrijić, Željka ; Karlović, Romano ; Žeželj, Boris
engleski
A Soft Sensor development for the Estimation of Benzene Content in Catalytic Reformate
As vehicle emission standards become more stringent, there is an increasing need for continual monitoring of benzene content in gasoline. Since the on-line analyzers are often unavailable, and laboratory analyses are infrequently obtained, soft sensors for the estimation of benzene content of light reformate are developed. Soft sensors are developed using system identification methods. Experimental data is acquired from the refinery distributed control system (DCS) and include continuously measured variables and analyzer assays available on-line. In the present work, the development of a Finite Impulse Response(FIR) model, an Output Error (OE) model and an AutoRegressive Model with Exogenous Inputs (ARX) model are presented. To overcome the problem of selecting the best model parameters by trial and error, genetic algorithm was used. Based on developed soft sensors, it is possible to entirely replace on-line analyzers with soft sensors by embedding the model in a DCS on-site.
soft sensor; identification; reformate; genetic algorithm
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Podaci o prilogu
1111-1116.
2012.
objavljeno
Podaci o matičnoj publikaciji
35. jubilee international convention on information and communication technology, electronics and microelectronics
Podaci o skupu
35. jubilee international convention on information and communication technology, electronics and microelectronics
predavanje
21.05.2012-25.05.2012
Opatija, Hrvatska