RESEARCH ON DEFORMATION MEASUREMENT ALGORITHM OF MEGAWATT WIND TURBINE BLADE BASED ON INERTIAL NETWORK

Zhang Huaqiang; Liu Lin; Qin Changli; Liu Weisheng; Su Qinghua; Chen Yu

doi:10.19912/j.0254-0096.tynxb.2021-0442

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 186-191. DOI: 10.19912/j.0254-0096.tynxb.2021-0442

RESEARCH ON DEFORMATION MEASUREMENT ALGORITHM OF MEGAWATT WIND TURBINE BLADE BASED ON INERTIAL NETWORK

Zhang Huaqiang¹, Liu Lin¹, Qin Changli¹, Liu Weisheng², Su Qinghua³, Chen Yu⁴

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Abstract

To deal with the large flexure measurement error in the deformation process of wind turbine blade, a relative motion monitoring algorithm based on inertial network is proposed. Firstly, the master-slave inertial network is established according to the stress analysis of wind turbine blade, then the calculating method for the movement of the master IMU relative to the slave IMU is derived and the relative navigation error model is established. The relative navigation error estimation filter is designed to ensure the accuracy of the posture solution of each slave nodes through the error feedback. Secondly, a federated relative inertial navigation error estimation filter is constructed for data fusion of master node and slave nodes, which improves the deformation estimation accuracy of the integral wind turbine blade and the fault tolerance of the entire system. Finally, a static loading test is carried out with a certain type of wind turbine blade. The test results show that algorithm can accurately measure the displacement curve of each node on the wind turbine blade, the mean relative errors（MREs） of the three slave nodes in wave direction are 0.92%, 1.18% and 1.07%, respectively. This algorithm can monitor the position and attitude of wind turbine blade in real time, and it has good theoretical research significance and engineering application value in wind turbine blade detection and wind turbine safety monitoring.

Key words

wind turbine blades / deformation / inertial network / relative motion / data fusion

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Zhang Huaqiang, Liu Lin, Qin Changli, Liu Weisheng, Su Qinghua, Chen Yu. RESEARCH ON DEFORMATION MEASUREMENT ALGORITHM OF MEGAWATT WIND TURBINE BLADE BASED ON INERTIAL NETWORK[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 186-191 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0442

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