کنترل برج تقطیر با مدل غیرخطی به‌روش فازی نوع-2 بهینه‌سازی شده با الگوریتم ژنتیک

نویسندگان

دانشگاه شهرکرد - دانشکده فنی و مهندسی

چکیده

فرآیند تقطیر از فرآیندهای مهم در صنایع شیمیایی به‌شمار می‌رود و کاربرد وسیعی در این صنایع دارد. برج تقطیر به‌عنوان یک ابزار محبوب نزد مهندسان شیمی به‌منظور جداسازی مواد مورد استفاده قرار می‌گیرد و متداول‌ترین روش در جداسازی مواد می‌باشد. ثابت نگه‌داشتن غلظت محصولات در برج تقطیر از دیدگاه کنترلی بسیار مهم است. کنترل این فرآیندهای پیچیده نیاز به روش‌های هوشمند دارد تا بتواند بر اساس رفتار سیستم، تصمیم مناسبی را برای کنترل آن اتخاذ کند. از میان روش‌های هوشمند، سیستم فازی به‌دلیل کارآیی این روش در کنترل سیستم‌های پیچیده در این تحقیق مورد استفاده قرار گرفته است. در این مقاله، یک کنترل‌کننده فازی نوع-1 برای یک مدل غیرخطی برج تقطیر طراحی شده است. در طراحی این کنترل‌کننده فازی، الگوریتم ژنتیک (GA) مورد استفاده قرار گرفته است. نشان داده شده است که کنترل‌کننده فازی عملکرد بهتری نسبت به کنترل‌کننده‌های PI متداول دارد. سپس کنترل‌کننده فازی نوع-2 جایگزین فازی نوع-1 شده و برای بهینه‌سازی عملکرد کنترل فازی-2، گین‌های خروجی آن با روش GA تعیین گردیده است. نشان داده شده است که عملکرد فازی-2 از لحاظ مختلف بهتر از فازی-1 می‌باشد و همچنین در برابر تغییرات تغذیه، مقاوم‌تر است. در این تحقیق از نرم‌افزار MATLAB/ SIMULINK برای مدل‌سازی و پیاده‌سازی روش‌های پیشنهادی استفاده شده است.

کلیدواژه‌ها

عنوان مقاله [English]

Control of a Non-Linear Distillation Column Using Type-2 Fuzzy Method Optimized by Genetic Algorithm

نویسندگان [English]

  • A. Asgari
  • G. R. Arab Markadeh
Faculty of technical and engineering, Shahrekord University, Shahrekord, Iran
چکیده [English]

The distillation process is important process in the chemical industry and has wide application in industry. Distillation tower is used by chemical engineers as a popular tool to separate materials and is the most common method for separating materials. Keeping constant the product composition in the distillation column is very important from control perspective. Control of these complicated processes need intelligent methods to adopt the appropriate decision for control based on the behavior of the system. Between intelligent methods, fuzzy technique has superior response in complex systems control and so is used in this study. At first, a type-1fuzzy controller is designed for non-linear model of distillation tower. In design of this Fuzzy controller, genetic algorithm (GA) is used for optimization of fuzzy. It has been shown that the fuzzy controller is better than conventional PI one. Then the type-1 fuzzy controller has been replaced with type-2 fuzzy controller and to optimize the performance of fuzzy-2 control, its output gains is determined by GA and has been shown that the performance of type-2 is better than type-1 in various points of view. In this study, the MATLAB/SIMULINK software has been used for modeling and implementing the proposed methods.

کلیدواژه‌ها [English]

  • Distillation column
  • non-liner model
  • composition control
  • fuzzy system
  • type-2 fuzzy controller
  • genetic algorithm

مراجع

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