风力机智能叶片气弹建模与主动控制仿真研究  

Study on Aeroelastic Modeling and Active Control Simulation of Smart Wind Turbine Blades

作　　者：张文广[1] 刘瑞杰 王奕枫 ZHANG Wenguang;LIURuijie;WANG gifeng(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China;Key Laboratory of Measurement Control New Technology and System for Industrial Process,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]华北电力大学工业过程测控新技术与系统北京市重点实验室,北京102206

出　　处：《动力工程学报》2018年第8期665-673,共9页Journal of Chinese Society of Power Engineering

基　　金：国家重点研发计划资助项目(2017YFB0602105);北京市共建基金资助项目(GJ2017006)

摘　　要：为研究大型风力机智能叶片的气弹特性及尾缘襟翼对叶片形变和疲劳载荷的影响,以带有尾缘襟翼的NREL 5 MW参考风力机为研究对象,综合柔性叶片的旋转、重力、阻尼和气弹耦合等因素,建立了智能叶片多模态挥舞气弹模型,并与FAST平台进行仿真对比。基于LMS算法设计了尾缘襟翼主动控制器,在湍流风况下对叶尖偏移量进行控制仿真。结果表明:该气弹模型的准确度较高;尾缘襟翼主动控制方法可以有效减小叶尖偏移量波动并降低叶片疲劳载荷。To study the aeroelastic characteristics of smart blades on a large-scale wind turbine and the effects of trailing edge flaps （TEFs） on the deformation and fatigue load of blades, taking NREL 5 MW reference wind turbine with TEFs as an object of study, a multimodal flapwise aeroelastic model of smart blade was established considering the factors of rotation, gravity, damping and aeroelastic coupling of the flexible blades, and subsequently the results were compared with that of FAST. Furthermore, a TEF ac- tive controller was designed based on the least mean square （LMS） algorithm, and a control simulation was conducted for the blade tip deflection under turbulent wind condition. Results show that the accuracy of the aeroelastic model is relatively high, and the TEF active control method can effectively reduce the fluctuation of blade tip deflection and the fatigue load of related blades.

关 键 词：大型水平轴风力机 智能叶片 尾缘襟翼 气弹建模 LMS算法 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]