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Analysis of fluidized catalytic cracking process using fuzzy logic system

机译:流化床催化裂化过程的模糊逻辑分析

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A procedure for non-linear modelling of the highly complex and dynamic Fluidized Catalytic Cracking process through the use of fuzzy logic controller is investigated in this paper. Fuzzy logic based system makes use of human knowledge base to define rule set which acts as the backbone of the FLC. The myriad range of application of fuzzy logic makes it an efficient tool to model complex chemical processes such as fluidized catalytic cracking. The main aim of this paper is to analyze the various process parameters involved in the complex catalytic cracking process using fuzzy logic controller(FLC). The results are simulated using Matlab-fuzzy logic toolbox R2013a. The real time process data that has been used in the paper has been obtained from FCCU division of BPCL refinery, Mumbai.
机译:本文研究了使用模糊逻辑控制器对高复杂度和动态流化催化裂化过程进行非线性建模的程序。基于模糊逻辑的系统利用人类知识库来定义作为FLC骨干的规则集。模糊逻辑的广泛应用使其成为建模复杂化学过程(例如流化催化裂化)的有效工具。本文的主要目的是使用模糊逻辑控制器(FLC)分析复杂催化裂化过程中涉及的各种工艺参数。使用Matlab模糊逻辑工具箱R2013a模拟结果。本文中使用的实时过程数据是从孟买BPCL炼油厂的FCCU部门获得的。

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