STUDY ON WIND TURBINE BLADE DYNAMIC DEFORMATION SENSINGALGORITHM BASED ON MULTI-IMU DATA FUSION

doi:10.19936/j.cnki.2096-8000.20210628.005

Abstract

Abstract: To accurately measure the bending attitude and position of wind turbine blades during dynamic deformation, a relative motion sensing algorithm based on multi-inertial measurement unit (IMU) measurement is proposed. The algorithm is based on the improved Kalman filter and uses a feedback distributed structure to perform multi-node data fusion. This method can not only provide redundant blade motion inertial information, but also has strong fault tolerance, that is, when a single IMU node fails, the measurement accuracy of the algorithm is less affected. The simulation results show that the maximum error of the deflection attitude of the child nodes in the direction of motion after single point fusion is 1.068′, and the maximum position error is -59.89 mm; the maximum error of the node after global fusion is 1.004′, 27.71 mm, respectively. This research has strong theoretical research significance and engineering application value in the field of dynamic deformation testing of full-scale wind turbine blades.

Key words: wind turbine blades; relative motion perception; distributed structure; data fusion; composites

CLC Number:

TB332

LU Yun-fei, ZHANG Hua-qiang, WANG Guo-dong, SU Qing-hua. STUDY ON WIND TURBINE BLADE DYNAMIC DEFORMATION SENSINGALGORITHM BASED ON MULTI-IMU DATA FUSION[J]. COMPOSITES SCIENCE AND ENGINEERING, 2021, 0(6): 34-38.

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