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   Intelligent Pitch Angle Control Based on Gain-Scheduled Recurrent Anfis  
   
نویسنده Hosseini Ehsan ,Aghadavoodi Ehsan ,Shahgholian Ghazanfar ,Mahdavi-Nasab Homayoun
منبع Journal Of Renewable Energy And Environment - 2019 - دوره : 6 - شماره : 1 - صفحه:36 -45
چکیده    The effective utilization of wind energy conversion system(wecs) is one of the most crucial concerns for the development of renewable energy systems. in order to achieve appropriate wind power, different pitch angle methods are used. recurrent adaptive neurofuzzy inference system (ranfis) is utilized in this paper in a new effective design to improve the performance of classical and adaptive proportional integral (pi) controllers applied for the pitch control purposes. adaptiveonline performance and high robustness coverage are the main advantages of the suggested controller. the effectiveness of the proposed method is verified by a simplified twomass wind turbine model and a detailed aeroelastic wind turbine simulator (fast7). at any given wind speed, the proposed controller has outperformed pi, adaptive neurofuzzy inference system (anfis), and ranfis based controllers, reducing the mechanical stress of drive train while presenting suitable aerodynamic power tracking and maintaining the rotational speed of the rotor under the rated value.
کلیدواژه Blade Pitch Angle Control ,Gs Ranfis Controller ,Pi Controller ,Wecs
آدرس Islamic Azad University, Najafabad Branch, Smart Microgrid Research Center, Iran, Islamic Azad University, Najafabad Branch, Smart Microgrid Research Center, Iran, Islamic Azad University, Najafabad Branch, Department Of Electrical Engineering, Iran, Islamic Azad University, Najafabad Branch, Department Of Electrical Engineering, Iran
پست الکترونیکی mahdavinasab@iaun.ac.ir
 
 

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