کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10293953 512447 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Smart fatigue load control on the large-scale wind turbine blades using different sensing signals
ترجمه فارسی عنوان
کنترل بار خستگی هوشمند در تیغه های توربین بادی با استفاده از سیگنال های مختلف حسگر
کلمات کلیدی
کنترل روتور هوشمند انرژی باد ساحلی، بار خستگی، سیگنال حسگر، تعامل جریان با تیغه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
This paper presented a numerical study on the smart fatigue load control of a large-scale wind turbine blade. Three typical control strategies, with sensing signals from flapwise acceleration, root moment and tip deflection of the blade, respectively, were mainly investigated on our newly developed aero-servo-elastic platform. It was observed that the smart control greatly modified in-phased flow-blade interaction into an anti-phased one at primary 1P mode, significantly enhancing the damping of the fluid-structure system and subsequently contributing to effectively attenuated fatigue loads on the blade, drive-chain components and tower. The aero-elastic physics behind the strategy based on the flapwise root moment, with stronger dominant load information and higher signal-to-noise ratio, was more drastic, and thus outperformed the other two strategies, leading to the maximum reduction percentages of the fatigue load within a range of 12.0-22.5%, in contrast to the collective pitch control method. The finding pointed to a crucial role the sensing signal played in the smart blade control. In addition, the performances within region III were much better than those within region II, exhibiting the benefit of the smart rotor control since most of the fatigue damage was believed to be accumulated beyond the rated wind speed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 87, Part 1, March 2016, Pages 111-119
نویسندگان
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