Design and Implementation of Optimized Fuzzy Logic Controller for a Nonlinear Dynamic Industrial Plant Using Hysys and Matlab Simulation Packages

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• 作者：Mehdi Mehrpooya ; Sima Hejazi
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2015
• 出版时间：November 11, 2015
• 年：2015
• 卷：54
• 期：44
• 页码：11097-11105
• 全文大小：496K
• ISSN：1520-5045

文摘

A fuzzy logic controller (FLC) is appropriate for systems with high complexity and nonlinearity. FLC is implemented directly on a chemical process simulator in dynamic mode to handle some uncertainty of the system. Also because accurate tuning of the fuzzy membership functions (MFs) is difficult and has an important effect on FLC performance, particle swarm optimization (PSO) is utilized. To display capability of this method, FLC is optimized with PSO. Next PSO-FLC is used to control pressure of a distillation column in an ethane plus recovery process in dynamic mode. Results show that the proposed method can use PSO-FLC in the Hysys dynamic efficiently.