基于电磁激励的风电叶片双轴疲劳试验跟踪控制策略研究

Wenzhe Guo, Leian Zhang, Chao Lv, Weisheng Liu, Jiabin Tian
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引用次数: 0

摘要

针对风电叶片电磁激励双轴疲劳试验中实际载荷相对于目标载荷的跟踪控制容易漂移的问题,设计了一种电磁激励双轴疲劳试验机,研究了实际载荷与目标载荷的跟随策略。提出了一种基于模糊逻辑的快速横向递推最小二乘算法(fuzzy FTRLS),提出了一种疲劳载荷跟随动态策略,通过模糊逻辑调整算法中的遗忘因子,克服了收敛精度与收敛速度之间的矛盾,解决了实际载荷相对于目标载荷的幅值超调和相位滞后现象。结合前人的研究成果,构建仿真模型验证该策略的有效性。为验证后续效果,进行了现场试验。结果表明,该方法对扑翼方向和边缘方向的跟踪误差控制在4%以内,比传统的递推最小二乘(RLS)算法具有更好的鲁棒性和动静态性能。
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Research on the Follow-Up Control Strategy of Biaxial Fatigue Test of Wind Turbine Blade Based on Electromagnetic Excitation
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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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
122
期刊介绍: Energy Engineering is a bi-monthly publication of the Association of Energy Engineers, Atlanta, GA. The journal invites original manuscripts involving engineering or analytical approaches to energy management.
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