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Register a new userIncrease Reliability of Wind Turbine using Fuzzy Smith Predictor Modeled by Colored Petri Nets
زيادة موثوقية العنفات الريحية باستخدام متنبئ سميث العائم المنمذج بواسطة شبكة بيتري الملونة
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مسعود الأتاسي( باحث )
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سنقوم في هذا البحث بتصميم متنبئ سميث العائم، و من ثم نمذجته، محاكاته و تحليله باستخدام شبكات بتري العائمة الملونة و مقارنته مع متحكم تناسبي تكاملي تقليدي، و ذلك بهدف تخفيض التأخير الزمني لنظام التوربينات الريحية و زيادة موثوقيتها، و تحسين الاستجابة، و تأمين استقرار نقطة العمل المثلى للقدرة الميكانيكية، و خفض الاهتزازات التي يسببها التأخير الزمني في الجملة من جهة أخرى.
In this paper, we will design a Fuzzy Smith Predictor (FSP), then we will model, simulate and analyze it using colored Fuzzy Petri networks, then we will compare it with a conventional proportional integral controller. The main objective of this research is to reduce the delay time of the wind turbine system and to increase its reliability, in the other side, to improve the response and stability of the operating point of the mechanical energy and reduce vibration caused by the delay time in the system.
References used
RICO.JE, CAMACHO.EF, 2008 - Dead-time compensators. Control Eng, Vol 407- 428p
ZHANG.WD, SUN.YX, 1998 - Two degree of freedom smith predictor for processes with time delay. Automatica 34
ZHANG.WD, CAO.YC, December 2005 - Modified Fuzzy PID Control for networked Control System with random delays. World Academy of Science, Engineering and Technologies
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optimize power coefficient of turbine throug
h 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
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accumulation errors signals by using MATLAB. Results have been compared and showed better response
by using the fuzzy controller.
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and
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odel and its
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Frequency converters are not modeled but we only consider the control strategy. The
results of modeling and simulation in Matlab satisfy the power smoothing issue and reflect
the importance of this study.
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