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Fuzzy logic Control of Chemical Processes
السيطرة على العمليات الكيمياوية بطريقة الدليل الغامض

Author: Duraid Fadhil Ahmed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2015 Volume: 33 Issue: 1 Part (A) Engineering Pages: 12-29
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

The objective of this study was to investigate the closed-loop control strategies for a batch reactor and batch distillation column by using two different control methods. In this paper, Fuzzy logic control is developed and compared with conventional proportional-/integral-derivative controller. In the design of fuzzy controller, the knowledge obtained from the process reaction curve procedure is employed to determine proper membership functions. Fine tuning is obtained alteration the output scaling factor. The forty nine rules are employed to regulate the manipulating variables to a variety of operating conditions and acquire a more flexible learning ability. The robustness of this control structure is studied in the case of set point changes and the fitness function for fuzzy controller is chosen as the integral of the absolute value of the error (IAE). The experimental results suggest that such fuzzy controllers can provide excellent set point-tracking and disturbance rejection. The results show that the fuzzy logic controller has a higher performance, in terms of robustness, response speed and the offset has a smaller average value than that of the conventional controller. According to experimental results, the fuzzy controller was considered more suitable and reliable for the batch reactor and distillation processes control with respect to the conventional controller.

هدف هذا البحث تطبيق طريقتي سيطرة على المفاعل الدفعي ويرج التقطير الدفعي. في هذا البحث تم تطوير طريقة الدليل الغامض للسيطرة وتم مقارنتها بالمسيطر التناسبي-التكاملي-التفاضلي التقليدي. تم الاعتماد على معلومات تجارب الحلقة المفتوحة في إيجاد قيم دوال الانتماء حيث تم استخدام تسعة وأربعون قانون في تصميم المسيطر من اجل تنظيم متغيرات المعالجة لمدى واسع من الظروف التشغيلية ومرونة كافية لقابلية تدريب المسيطر. تم دراسة متانة الطريقة المقترحة من خلال تغيير القيمة المرغوبة وتم استخدام معيار تكامل القيمة المطلقة للخطأ لتحديد الكفاءة. أظهرت النتائج العملية إن مسيطر الدليل الغامض يعطي مسايرة ممتازة للقيمة المرغوبة وإزالة لأي اضطراب وكفاءة عالية من حيث المتانة وسرعة الاستجابة وحيد اقل من الطريقة التقليدية. وطبقا للنتائج العملية إن مسيطر الدليل الغامض أكثر ثقة وملائمة للعمليات التقطير والمفاعل الدفعية مقارنة بالطريقة التقليدية.


Article
Artificial Neural Network Control of Chemical Processes
السیطرة على العملیات الكیمیاویة بطریقة الشبكة العصبیة الاصطناعیة

Author: Duraid Fadhil Ahmed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2014 Volume: 32 Issue: 1 Part (A) Engineering Pages: 176-196
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This paper presents an artificial neural network based control scheme for studying the control of continuous stirred tank reactor, distillation column and neutralization process and this method is compared with conventional proportional- /integral-derivative controller. A multi-layer back-propagation neural network isemployed to model the nonlinear relationships between the inputs variables and controlled variables of processes in order to regulate the manipulating variables to a variety of operating conditions and acquire a more flexible learning ability. The robustness of this control structure is studied in the case of setpoint changes andload disturbances. The experimental results suggest that such neural controllers can provide excellent setpoint-tracking and disturbance rejection. The neural network based control has higher speed of response and the offset has a smaller average value than that of the conventional controller. The control action based on the neural network controller shows less oscillation and an improvement in the controlled variables stabilization time with respect to the conventional controllerand gives a better control performance.

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