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Using Fuzzy Logic Controller to control the Power of a wind turbine

استخدام المتحكم الضبابي في التحكم باستطاعة عنفة ريحية

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 Publication date 2016
and research's language is العربية
 Created by Shamra Editor




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reliance on new and renewable sources of energy has grown in order to obtain electric power without the use of traditional fossil fuel sources. And thus solve the problems of the global energy crisis and also maintain a clean environment, through the fight against the dangers of global warming and its negative results Wind power is considered as one of the most important of these alternative energies. We will work in this research in order to be able to control wind turbine with variable speed through pitch angle control in order to organize power and control the rotational speed in order to make the power ideal. Where we will be using a fuzzy controller to control pitch angle instead of the traditional controllers, which is expected to improve system response and provide ease in the application and modification and reduction in the cost. By reference study we came to the result showing that most previous studies in advanced wind energy systems have addressed to control wind turbine using conventional controllers from PI or PID type. Show we have the problem of the need to know the exact mathematical model of the system. Where traditional controllers of wind turbines that operate at variable speed are based on mathematical models which may be complex and non-linear and neglect often physical phenomena, for example, magnetic saturation which leads to complexity in the calculation and unexpected performance of the driven system. The proposed research aims to provide a complete study through modeling and simulation using the Matlab about the use of fuzzy controller to control the wind turbine where traditional controllers of type PI will be designed to control the pitch angle and to control the rotational speed and fuzzy PI controllers to control the pitch angle. Results will be get and discussed and conclusion will be extracted from them. Research Results showed that the fuzzy control improves transient state behavior, but the steady-state behavior is better controlled when we use PI controller. So and based on the result we got, the PI controller can't be replaced actually with the fuzzy controller.


Artificial intelligence review:
Research summary
يتناول هذا البحث استخدام المتحكم الضبابي في التحكم باستطاعة عنفة ريحية ذات سرعة متغيرة. يهدف البحث إلى تحسين استجابة النظام وتوفير سهولة في التطبيق والتعديل وانخفاض في الكلفة مقارنة بالمتحكمات التقليدية مثل PI و PID. تم تصميم نماذج رياضية للعنفة الريحية ونماذج للمتحكمات التقليدية والضبابية باستخدام برنامج Matlab. أظهرت النتائج أن التحكم الضبابي يحسن من سلوك الحالة العابرة، إلا أن سلوك الحالة المستقرة يكون أفضل عند استخدام المتحكم التقليدي. بناءً على هذه النتائج، لا يمكن استبدال المتحكم التقليدي بالمتحكم الضبابي بشكل كامل.
Critical review
دراسة نقدية: على الرغم من أن البحث يقدم مساهمة مهمة في مجال التحكم بالعنفات الريحية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الممكن تقديم تحليل أعمق للنتائج ومناقشة الأسباب المحتملة لتفوق المتحكم التقليدي في الحالة المستقرة. ثانياً، لم يتم التطرق بشكل كافٍ إلى تأثير العوامل البيئية المختلفة على أداء المتحكم الضبابي. أخيراً، كان من الممكن تقديم توصيات أكثر تحديداً حول كيفية تحسين أداء المتحكم الضبابي في المستقبل.
Questions related to the research
  1. ما هو الهدف الرئيسي من استخدام المتحكم الضبابي في هذا البحث؟

    الهدف الرئيسي هو تحسين استجابة النظام وتوفير سهولة في التطبيق والتعديل وانخفاض في الكلفة مقارنة بالمتحكمات التقليدية مثل PI و PID.

  2. ما هي النتائج الرئيسية التي توصل إليها البحث؟

    النتائج الرئيسية أظهرت أن التحكم الضبابي يحسن من سلوك الحالة العابرة، إلا أن سلوك الحالة المستقرة يكون أفضل عند استخدام المتحكم التقليدي.

  3. ما هي التحديات التي تواجه استخدام المتحكمات التقليدية في العنفات الريحية؟

    التحديات تشمل الحاجة إلى معرفة النموذج الرياضي الدقيق للنظام، والذي قد يكون معقداً وغير خطي ويهمل الظواهر الفيزيائية مثل الإشباع المغناطيسي، مما يؤدي إلى تعقيد في الحساب وأداء غير متوقع للنظام.

  4. ما هي التوصيات التي قدمها البحث لتحسين أداء المتحكم الضبابي في المستقبل؟

    التوصيات تشمل متابعة السعي لاستخدام متحكمات ذكية (لا تحتاج لمعرفة نموذج النظام) من أجل تحسين سلوك الحالة المستقرة والعابرة في آن واحد.


References used
Abdel Ghani Aissoula; Ahmed Tahourb; Mohamed Abida; Najib Essounboulic; Frederic NOLLETc; Sidi Bel Abbes, (2013) Power Control of Wind Turbine based on Fuzzy Controllers. France: The Mediterranean Green Energy Forum Energy Procedia 42,163–172
Evgenije Adzic*; Zoran Ivanovic*; Milan Adzic**;Vladimir Katic*, ( No. 1, 2009) Maximum Power Search in Wind Turbine Based on Fuzzy Logic Control.Serbia:[email protected],[email protected],[email protected] u, [email protected]. 6, No. 1.
Vinod Kumar and 2R. R. Joshi; Asstt Prof., 2Assoc. Prof.,( 2007) Fuzzy Logic Based Light Load Efficiency Improvement Of Matrix Converter Based Wind Generation System. CTAE, Udaipur, Rajasthan, India-313001 Journal of Theoretical and Applied Information Technology.
K. Kaur, Dr.S.Chowdhury; Dr.S.P.Chowdhury; Dr. K.B.Mohanty, Prof.A.Domijan, (May 26, 2009). Fuzzy Logic Based Control Of Variable Speed Induction Machine Wind Generation System. Roukela, India: Authorized licensed use limited to: NATIONAL INSTITUTE OF TECHNOLOGY. Downloaded from IEEE Xplore.
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