Research On Automatic De-Icing System For Wind Turbine Blades Based On Wireless Signals Transmission

Blade-icing is one of the most common problems that the wind farm have which located in the alpine and clammy regions. Currently, various anti-icing and de-icing methods have been applied to different types of wind turbines, but the problem of shortage of mature technology for wind blade automatic icing monitoring and de-icing remains unresolved.In this dissertation, the different order modal frequency for wind turbine blade of MW class are summarized. The technology of Wi-Fi as vibration data wireless transmission technology was selected for wind turbine blade combining on bandwidth, transmission range and power. The modal frequencies under different situations for wind turbine blades of FY-300 class was analyzed. The model equipment NI WLS-9205 was selected as wireless transmit vibration data for wind turbine of FY-300 class under the experimental conditions. The wire transmit and wireless transmit vibration data for wind turbine contrast experiment platform was built. The vibration dates of wind turbine blade use wire and wireless simultaneous transmission. Wireless transmist vibration data of wind turbine blade is feasible under the technology of Wi-Fi comparative analysis. A automatic de-icing system for wind turbine blades based on LabVIEW software and Wi-Fi wireless data acquisition device was developed.The 4mm thick freezer ice layers in different regions of wind turbine blade was simulated in artificial environment laboratory and atmospheric conditions. The wind turbine blade has been modal analyzed under different icing conditions. The vibration mode and curvature mode between wireless transmission and wire transmission for the ice covered different regions for wind turbine blade were contrasted. Present the methods of extracted and detected of icing area and ice thickness parameters based on wireless signals transmission for wind turbine blade. This method was used to diagnosis the ice layers and de-icing experiments for wind turbine blade. The experiment showed that the system can obtain ice thickness parameters and diagnose the different states of iced condition for wind turbine blade accurately. Piezoelectric transducer(PZT-4) produced ultrasonic transverse shear stress and thermal stress on the surface of wind turbine blade can effectively peel off ice layers. Furthermore, the author presented quantitative correlation formula between the time of de-icing and the thickness of the ice-covered, a quantitative correlation formula between the energy consumption of de-icing and the temperature of the ice-covered as well as the thickness of the ice-covered according to the experimental results. At the same time, the author presented a quantitative correlation formula for PZT-4 thermal estimates. The experimental basis of designed ultrasonic de-icing system for wind turbine blades in the field of engineering practice was established.