基于压电陶瓷的风机叶片模型覆冰主动监测  

Active Icing Monitoring for Wind Turbine Blade Models With PZT Technology

作　　者：许斌[1,2] 郭雪怡[1] 陈洪兵[1] 

机构地区：[1]湖南大学土木工程学院,湖南长沙410082 [2]湖南大学工程结构损伤诊断湖南省重点实验室,湖南长沙410082

出　　处：《压电与声光》2017年第1期72-76,共5页Piezoelectrics & Acoustooptics

基　　金：湖南省科技计划重点基金资助项目(2013FJ2010);国际科技合作与交流专项基金资助项目(2014DFE70230)

摘　　要：南方山区高湿低温严酷环境易导致冰灾,风机叶片覆冰会导致发电效率降低甚至停机,因此发展高效可靠的风机叶片覆冰监测技术对防冰、除冰具有重要意义。该文提出了一种基于压电陶瓷应力波测量的风机叶片覆冰主动监测方法。开展叶片模型进行模拟覆冰试验,在叶片表面布置伸缩型和剪切型两种压电陶瓷片,根据波动法原理对驱动器输入正弦扫频电压信号作为激励,记录不同传感器在不同结冰厚度下的响应信号,并对测量信号进行小波包能量分析。结果表明,同一压电陶瓷片接收信号的小波包能量与结冰厚度存在明显关系。The harsh environment with low temperature and high humidity in mountain areas of southern China easily leads to ice hazard for wind turbine structures.The coving ice on wind turbine blades can deteriorate power generating efficiency and even lead to generator shutdown.The development of efficient ice monitoring methodology is critical for anti-icing and de-icing of wind turbine blades.In this study,an active icing monitoring approach based on stress wave propagation measurement for a wind turbine blade model using piezoelectric lead zirconate titanate(PZT)ceramic is proposed.The experimental study on blade models equipped with compressive and shear mode PZT patches and covered with different thicknesses of ice is carried out.The corresponding voltage responses of both compressive and shear mode PZT sensors are recorded when a certain designated PZT actuator was excited with sinusoidal sweep frequency excitation signals.The wavelet packet analysis on the received voltage signals of PZT sensors is carried out and the corresponding evaluation index called as wavelet packet energy is defined and determined.The results show that the wavelet packet energy of the PZT sensor voltage measurements is obviously related to the thickness of the coving ice on the blade models.

关 键 词：风机叶片 覆冰监测 压电陶瓷 应力波 小波包能量 

分 类 号：TN384[电子电信—物理电子学] TM282[一般工业技术—材料科学与工程]