首页|参数耦合下风力发电机叶片机械颤振检测研究

参数耦合下风力发电机叶片机械颤振检测研究

扫码查看
受气候、风速等因素影响,会使风力发电机叶片的运行条件发生较大变化,增加了颤振检测的难度.为此,该文提出参数耦合下风力发电机叶片机械颤振检测方法.建立风力发电机叶片结构模型,推导结构动力学方程,并利用优化后的参数耦合算法对其求解,获取非稳态气动载荷,通过动力学模型反馈得到叶片的结构响应和振动情况;构建非稳态气动降阶模型,采用能量法分析叶片的结构响应与气动载荷的时域或频域,计算能量交换角度,确定叶片的颤振程度,实现颤振检测.实验结果表明,该方法气动阻尼系数计算结果准确、检测正确率高、计算时间短.
Research on Mechanical Flutter Detection of Wind Turbine Blades Under Pa-rameter Coupling
Due to the influence of climate,wind speed and other factors,the operating conditions of wind turbine blades will change greatly,which increases the difficulty of flutter detection.Therefore,a mechanical flutter detection method for wind turbine blades under parameter coupling is proposed.The structural model of wind turbine blade is established,the structural dynamic equation is derived,and the unsteady aerodynamic load is obtained by using the optimized parameter coupling algorithm.The structural response and vibration of the blade are obtained by feedback of the dynamic model.The unsteady aerodynamic reduction model was constructed,and the energy method was used to analyze the structural response of the blade and the time domain or frequency domain of the aerodynamic load.The energy exchange angle was calculated to determine the flutter degree of the blade and realize flutter detection.The experimental results show that the aerodynamic damping coefficient calculated by this method is accurate,the de-tection rate is high and the calculation time is short.

parameter couplingwind turbinesmechanical flutter of bladesunsteady aerodynamic loadsenergy method

张纯、孙山、韩煜航

展开 >

西安热工研究院有限公司,西安 710054

西安交通大学 能源与动力工程学院,西安 710049

参数耦合 风力发电机 叶片机械颤振 非稳态气动载荷 能量法

国家重点研发计划项目

2020YFB1506701

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(1)
  • 15