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Register a new userWind turbine performance optimization through pitch control by using fuzzy logic
تحسين أداء العنفات الريحية بالتحكم بزاوية انحراف الشفرات باستخدام المنطق العائم
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يظهر هذا البحث تصميم متحكم عائم للتحكم بزاوية انحراف شفرات العنفة الريحية بهدف تحسين أداء العنفة الريحية و الحصول على أعظم استطاعة ممكنة و تقليل الضياعات الناتجة عن التسارع و التباطؤ في دوران العنفة الريحية و من ثم تحسين معامل كفاءة أداء العنفة الريحية؛ و ذلك من خلال الإفادة من تقنيات الذكاء الاصطناعي و بصورة خاصة المنطق العائم، إذ إن المتحكم العائم يساعدنا على تجاوز نقاط الضعف في المتحكمات التقليدية التي تحتاج إلى نموذج رياضي معقد للمنظومة المتحكم بها. صمم متحكم عائم تناسبي تكاملي و قورِن بمحتكمٍ تقليدي تناسبي تكاملي لنظام عنفة ريحية ممثلة بتابع التحويل الواصف لهذه العنفة، ووضعت القواعد اللغوية للمتحكم و توابع الانتماء لإشارتي الخطأ و تراكم الخطأ باستخدام بيئة ماتلاب، و قورنت النتائج التي أظهرت استجابة فضلى عند استخدام المتحكم العائم.
This research work presents fuzzy pitch controller design of wind turbine to get the maximum power in addition to decrease the losses caused by acceleration and deceleration in turbine rotation. And thus optimize power coefficient of turbine through artificial intelligence and in particular fuzzy logic, because the fuzzy controller doesn’t need a complex mathematical pattern of the controlled system. A fuzzy controller is designed and compared with conventional controller for the same purpose in a wind turbine system described by its transfer function and membership function has been chosen for error and accumulation errors signals by using MATLAB. Results have been compared and showed better response by using the fuzzy controller.
References used
E.Muljad, and CP BUTTERFIELD “Pitch controlled variable speed wind turbine generation “ , national renewable energy laboratory NERL, February 2000
Jian Zhong Zhang, Ming Cheng, ”Pitch angle control for variable speed wind turbine”, DRPT 2008 6-9APRIL 2008 Nanjing, China
S.M.Muyeen student member, Mohd.Hasan Ali member,"Transient Stability Enhancement of wind generator by a new logical pitch controller", Kitami Institute of technology,2003
Hari Sharma ,Trevor Pryor, Syed Islam “Effect of pitch control and power conditioning on power quality of variable speed wind turbine generators” , Mordoen university energy research institute,2002
Xiufang Zhang ,”Intelligent control for large scale variable speed variable pitch wind turbine”, Dapingxu, Journal of control theory,2000
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integral controller.
The main objective of this
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electrical energy. This was done by modeling both the induction
generator and the wind turbine using the Matlab program,
and
depending on the general theory of electrical machines. method for
this system by studying together the mechanical characteristics of
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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.
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