Title :
MEMS gyroscope sensors for wind turbine blade tip deflection measurement
Author :
Xu Fu ; Lihan He ; Hai Qiu
Author_Institution :
Real Time Controls & Instrum. Lab., GE Global Res. - Shanghai, Shanghai, China
Abstract :
Monitoring the blade tip deflection of wind turbines in real time could prevent catastrophic failures caused by blade striking the tower. In this paper, a MEMS-based gyroscope sensor is proposed to measure the wind turbine blade tip deflection. A neural network model-based estimation method is developed to estimate the blade tip deflection from 3-dimensional gyroscope data. The proposed system is validated by field test in a 1.6MW wind turbine with 100-meters rotating diameter. To evaluate the measurement accuracy, a laser distance finder is also installed on the wind turbine tower outside to give a reference value of the blade tip to tower clearance.
Keywords :
blades; computerised monitoring; gyroscopes; laser ranging; microsensors; neural nets; poles and towers; wind turbines; 3D gyroscope data; MEMS gyroscope sensor; blade striking; catastrophic failure prevention; laser distance finder; measurement accuracy; neural network model-based estimation method; power 1.6 MW; rotating diameter; size 100 m; wind turbine blade tip deflection measurement; wind turbine tower; Blades; Gyroscopes; Mathematical model; Measurement by laser beam; Poles and towers; Sensors; Wind turbines; blade tip deflection; gyroscope; neural network; wind turbine;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555706
