![](/images/graphics-bg.png)
Implementation of neural control for continuous stirred tank reactor (CSTR)
Other Title(s)
استخدام نظام السيطرة بالشبكة العصبية للسيطرة على مفاعل ذو الخلط المستمر
Author
Source
al-Khwarizmi Engineering Journal
Issue
Vol. 7, Issue 1 (31 Mar. 2011), pp.39-55, 17 p.
Publisher
University of Baghdad al-Khwarizmi College of Engineering
Publication Date
2011-03-31
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
إن الهدف من هذا البحث هو دراسة السلوك الديناميكي و طرق السيطرة لمفاعل كيمياوي مستمر جيد الخلط (CSTR) و ذلك باستخدام أنواع مختلفة من المسيطرات مثل المسيطر التقليدي (PI و PID) و مسيطر الشبكة العصبية بنوعين (نارما) و (التنبؤي).
و قد تم تمثيل الموديل الرياضي للخزان ذو الخلط المستمر بدالة تحويل من الدرجة الأولى مع تأخير.
تم توصيف متغيرات المسيطر بطريقتين هما Frequency Analysis Curve method و Process Reaction Curve method لإيجاد أفضل قيم للمعاملات I, τ D, Kcτ.
و تم استخدام معيار متوسط التربيع للخطأ (MSE) كأساس للمقارنة بين الطريقتين أعلاه.
الشبكة العصبية الصناعية هي أفضل طريقة للسيطرة على الـ CSTR و هي أفضل من الطرق التقليدية و ذلك لأن معيار متوسط التربيع للخطأ أقل.
تم استخدام برنامج MATLAB في هذا البحث كأداة للحل في جميع الحالات.
Abstract EN
In this paper a dynamic behavior and control of a jacketed continuous stirred tank reactor (CSTR) is developed using different control strategies, conventional feedback control (PI and PID), and neural network (NARMA-L2, and NN Predictive) control.
The dynamic model for CSTR process is described by a first order lag system with dead time. The optimum tuning of control parameters are found by two different methods; Frequency Analysis Curve method (Bode diagram) and Process Reaction Curve using the mean of Square Error (MSE) method.
It is found that the Process Reaction Curve method is better than the Frequency Analysis Curve method and PID feedback controller is better than PI feedback controller. The results show that the artificial neural network is the best method to control the CSTR process and it is better than the conventional method because it has smaller value of mean square error (MSE).
MATLAB program is used as a tool of solution for all cases used in the present work.
American Psychological Association (APA)
Butrus, Karimah Maruki. 2011. Implementation of neural control for continuous stirred tank reactor (CSTR). al-Khwarizmi Engineering Journal،Vol. 7, no. 1, pp.39-55.
https://search.emarefa.net/detail/BIM-324484
Modern Language Association (MLA)
Butrus, Karimah Maruki. Implementation of neural control for continuous stirred tank reactor (CSTR). al-Khwarizmi Engineering Journal Vol. 7, no. 1 (2011), pp.39-55.
https://search.emarefa.net/detail/BIM-324484
American Medical Association (AMA)
Butrus, Karimah Maruki. Implementation of neural control for continuous stirred tank reactor (CSTR). al-Khwarizmi Engineering Journal. 2011. Vol. 7, no. 1, pp.39-55.
https://search.emarefa.net/detail/BIM-324484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 53-54
Record ID
BIM-324484