Fuzzy logic modelling tracer response in milli torus reactor under aerated and non-aerated conditions

• Published in: Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 152; no. 2; pp. 566 - 574
• Main Authors: Rihani, Rachida, Bensmaili, Aicha, Legrand, Jack
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier B.V 15.10.2009; Elsevier
• Subjects: Applied sciences; Chemical engineering; Exact sciences and technology; Fuzzy logic modelling; Milli torus reactor; MISO system; Mixing; Reactors; Tracer response; Mixing; Tracer response; Milli torus reactor; MISO system; Fuzzy logic modelling; Second order; Turbulent flow; Differential equation; Modeling; Fuzzy logic; Flow regime; Morphology; Reactor; Tracers
• ISSN: 1385-8947; 1873-3212
• DOI: 10.1016/j.cej.2009.05.025

The present paper aims at developing and modelling the dynamic process of tracer response in aerated and non-aerated conditions, using a fuzzy logic approach, for such case the milli loop geometry is operated under turbulent flow regime. An identification of fuzzy logic controller whose rules approximated the measured data is first developed. The second-order differential equation is used to identify significant parameters of fuzzy logic controller. A fuzzy model is built with multiple inputs, single output (MISO) non-linear dynamic system under Matlab ®/Simulink environment. The proposed technique takes into account the physical description of the tracer response curve. The selection of the variables and the shape of the membership functions are discussed. The results of the model are in good agreement with the experimental data.