Modeling of a Catalytic Cracking in the Gasoline Production Installation with a Fuzzy Environment (original) (raw)
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This paper examines the procedure for nonlinear modeling and Fuzzy controller design of a Fluidized Catalytic Cracking Unit, also known as FCCU, of Abadan Refinery in Iran. FCCU is one of the most important elements in Petrochemical industry. In 2006 alone, FCCUs refined one-third of the crude Oil worldwide. FCCUs convert the heavy distillates like Gasoil (feed) and Crude Oil to Gasoline, Olefinic gases and other more usable products. Since FCCUs yield large amount of products very efficiently, along with the Petrochemical products' daily price fluctuations, the optimization of such units has always been the focus of attention for engineers as well as investors. Unlike the conventional controllers, Fuzzy Logic is the perfect choice for uncertain, dynamic and nonlinear processes where the mathematical model of the plant cannot be produced, or if realizable, a great deal of approximation is involved. The heuristic approach of Fuzzy Logic controllers is the closest form to human language, and this virtue will make them a perfect candidate for a wide range of industrial applications. The investigations in this paper are simulated and proven by MATLAB Fuzzy Logic Toolbox R2012b. Through this paper, the applicability and promising results of Fuzzy Logic controllers for such a complex and demanding plant will be investigated.
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2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
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Computers & Chemical Engineering, 2006
In this paper, fuzzy logic control of a fluid catalytic cracking unit (FCCU) is proposed. Fluid catalytic cracking (FCC) process is a unit that converts heavy distillates like gas oil or residues to gasoline and middle distillates using cracking catalyst. About 45% of worldwide gasoline production comes from FCC processes and its ancillary units. Since a typical FCC unit can process a large amount of the feedstock into more valuable products, the overall economic benefits of a refining could be considerably increased if proper control and optimization strategies are implemented. FCC processes are known to be very difficult to model and control because of the large process scale, complicated hydro-dynamics and complex kinetics of both cracking and coke burning reactions. One of the more heavily investigated terms of nonlinear control, in the field of "intelligent control", is that due to fuzzy logic controllers (FLCs). FLCs have been successfully applied to a stream of difficult, nonlinear dynamical process such as FCC. Here, with an application to a Turkish refinery FCC unit of FLC fuzzy results obtained using Matlab-Fuzzy Logic Toolbox version 6.5 were found to be acceptable. The paper indicates how fuzzy logic control (FLC), as a promising control technique, would be effectively used for improved process control of FCC in refinery process industry.
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Fuzzy logic is a modeling method intended to formalize a mathematical approach to deal with these complex or ill-defined systems and is, therefore, a relatively new mathematical paradigm. Its basis is a consideration of overlapping sets and the definition of operators to manipulate these sets. According to Zadeh and Mamdani, fuzzy logic could be used to develop operational automatic control systems. The application of fuzzy logic techniques has been increasing rapidly in the last few years. Fuzzy logic is used in target tracking, pattern recognition, robotics, power systems, controller design, chemical engineering, biomedical engineering, vehicular technology, economy management and decision making, aerospace applications, communications and networking, electronic engineering, and civil engineering. Chemical engineering has employed fuzzy logic in the detection of chemical agents as well as gas recognition. It has also been applied to processes control, batch distillation column, separation process, and kinetics. In this paper, we discuss how the development of intelligent systems can be done. Also, how the fuzzy set theory and fuzzy logic can be used to develop knowledge – based expert systems in Chemical Engineering. KEYWORDS Fuzzy logic, Chemical process
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Transesterification reaction is reaction carried out by varying different parameters, like ratio of methyl alcohol to oil, amount of catalyst in reaction, temperature and stirring on the reaction; to find the beat conversion of oil to biodiesel. This reaction is replacement of alcohol group from an ester by another alcohol. Fuzzy logic is applied to the transesterification reaction studies and the result is compared with experimental results.
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