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Modeling and Simulation of a Self-Organizing Fuzzy Controller Using MATLAB & Simulink

نمذجة ومحاكاة المتحكم الضبابي ذاتي التنظيم باستخدام MATLAB & Simulink

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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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Since the invention of Fuzzy logic and fuzzy control, the latter has been growing in spread and importance in many applications and devices in many life aspects. This maybe due to the easy use of a fuzzy control system, and for being far of math complications. Even if the plant model is unknown, a self-organizing fuzzy controller (SOFC) can improve the response of an already exist linear control table, or even can build a control table from scratch, by assessing current performance of the controller and adjusting the control table accordingly. This paper provides a simple article that shows how to design and use a self organizing fuzzy controller, through a simulation example using MATLAB & Simulink in which a variable torque loaded DC motor speed regulation is done. The simulation showed the ability of the controller to provide a good response and decrease speed error by a notable amount at load torque changing times. This paper can be used as textbook material for students or researchers interested in the field of adaptive control, especially self-organizing fuzzy control.


Artificial intelligence review:
Research summary
منذ اختراع المنطق الضبابي والتحكم الضبابي، شهد الأخير انتشاراً واسعاً واهتماماً متزايداً في تطبيقات متنوعة وأجهزة مختلفة. يتميز نظام التحكم الضبابي بسهولة تطبيقه وابتعاده عن تعقيدات العلاقات الرياضية. حتى في حالة عدم معرفة نموذج النظام، يمكن للمتحكم الضبابي ذاتي التنظيم تحسين استجابة متحكم ضبابي خطي موجود أو بناء جدول تحكم من الصفر. يوضح هذا البحث كيفية تصميم واستخدام المتحكم الضبابي ذاتي التنظيم من خلال نمذجة ومحاكاة باستخدام Matlab & Simulink، حيث تم استخدام المتحكم لتنظيم سرعة محرك كهربائي مستمر عند حمولات متغيرة. أظهرت المحاكاة قدرة المتحكم على تقديم استجابة جيدة وتقليل خطأ السرعة بشكل ملحوظ عند تغير الحمولة. يمكن استخدام هذا البحث كمرجع للطلاب والباحثين المهتمين في مجال التحكم التكيفي والتحكم الضبابي ذاتي التنظيم.
Critical review
دراسة نقدية: يقدم البحث مادة قيمة في مجال التحكم الضبابي ذاتي التنظيم، ولكن هناك بعض النقاط التي يمكن تحسينها. أولاً، قد يكون من المفيد تضمين المزيد من الأمثلة العملية والتطبيقات الواقعية لتعزيز فهم القراء. ثانياً، يمكن تحسين الشرح النظري لبعض المفاهيم لتكون أكثر وضوحاً وسهولة في الفهم، خاصة للقراء غير المتخصصين. ثالثاً، قد يكون من المفيد إجراء مقارنة مع أنواع أخرى من المتحكمات التكيفية لتقديم صورة شاملة عن مزايا وعيوب كل نوع. وأخيراً، يمكن تحسين هيكلية البحث وتنظيمه لتسهيل الوصول إلى المعلومات المطلوبة بسرعة وفعالية.
Questions related to the research
  1. ما هي الفائدة الرئيسية من استخدام المتحكم الضبابي ذاتي التنظيم؟

    الفائدة الرئيسية هي تحسين استجابة المتحكم الضبابي الخطي الموجود أو بناء جدول تحكم من الصفر دون الحاجة إلى معرفة نموذج النظام.

  2. ما هي الأدوات المستخدمة في نمذجة ومحاكاة المتحكم الضبابي ذاتي التنظيم في هذا البحث؟

    تم استخدام Matlab & Simulink في عملية النمذجة والمحاكاة.

  3. كيف تم اختبار أداء المتحكم الضبابي ذاتي التنظيم في البحث؟

    تم اختبار أداء المتحكم من خلال تنظيم سرعة محرك كهربائي مستمر عند حمولات متغيرة، وأظهرت المحاكاة قدرة المتحكم على تقديم استجابة جيدة وتقليل خطأ السرعة بشكل ملحوظ.

  4. ما هي التوصيات التي قدمها الباحث لتحسين أداء المتحكم الضبابي ذاتي التنظيم؟

    يوصى ببدء عملية التدريب انطلاقاً من جدول تحكم معد مسبقاً وفق المعلومات المتوفرة عن النظام لتجنب إطالة فترة التدريب، واختبار المتحكم مع أنظمة أكثر تعقيداً لاختبار كفاءة آلية التعديل.


References used
Levine, William S. The Control Handbook. Florida : CRC press, 2000. p. 1564. ISBN 81-7224-785-0
Chen, G. and Pham, T. T. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. New York : CRC Press, 2001. p. 316
Åström, Karl J and Björn, Wittenmark. Adaptive Control. 2nd edition. Amesterdam : Addison Wesley, 1995. p. 589
Matos D, Joana, Duorado C, António. A self-organizing fuzzy controller with a fixed maximum number of rules and an adaptive similarity factor. Informatic Engineering, Universidade de Coimbra. Coimbra : s.n., 1999. p. 44
Lee, Chien H. ; Wang, Sheng D. A self-organizing adaptive fuzzy controller. 80, 1996, Fuzzy Sets and Systems, pp. 295-313
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