Open Access

ARTICLE

Research on the Follow-Up Control Strategy of Biaxial Fatigue Test of Wind Turbine Blade Based on Electromagnetic Excitation

by Wenzhe Guo¹, Leian Zhang^1,*, Chao Lv², Weisheng Liu³, Jiabin Tian²

1 School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, China
2 Engineering and Technology Department, CRRC Wind Power (Shandong) Co., Ltd., Jinan, 250104, China
3 Testing Center, Lianyungang Zhongfulianzhong Composite Material Group Co., Ltd., Lianyungang, 222000, China

* Corresponding Author: Leian Zhang. Email:

Energy Engineering 2023, 120(10), 2307-2323. https://doi.org/10.32604/ee.2023.030029

Received 19 March 2023; Accepted 01 June 2023; Issue published 28 September 2023

Abstract

Aiming at the drift problem that the tracking control of the actual load relative to the target load during the electromagnetic excitation biaxial fatigue test of wind turbine blades is easy to drift, a biaxial fatigue testing machine for electromagnetic excitation is designed, and the following strategy of the actual load and the target load is studied. A Fast Transversal Recursive Least Squares algorithm based on fuzzy logic (Fuzzy FTRLS) is proposed to develop a fatigue loading following dynamic strategy, which adjusts the forgetting factor in the algorithm through fuzzy logic to overcome the contradiction between convergence accuracy and convergence speed and solve the phenomenon of amplitude overshoot and phase lag of the actual load relative to the target load. Combined with the previous research results, a simulation model was constructed to verify the strategy’s effectiveness. Field tests were carried out to verify its follow-up effect. The results show that the tracking error of flapwise and edgewise direction is within 4%, which has better robustness and dynamic and static performance than the traditional Recursive Least Squares (RLS) algorithm.

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Keywords

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