风电叶片全尺寸静力加载试验中,因各节点牵引力间存在交联耦合效应,导致试验过程中加载力振荡,降低叶片多点静力加载控制精度。在分析耦合特性基础上,提出融合局部最优解随机飞行思想的天牛须搜索算法,将其应用于多节点静力加载试验PID参数整定环节,实现系统解耦控制。建立四点静力加载耦合仿真模型,验证该算法性能及控制效果。现场试验结果表明：试验中4个节点的加载力曲线保持协调变化,过程误差小于±1 kN,满载保持阶段误差低于0.5%。该算法鲁棒性强、响应速度快,有效降低各节点交联耦合效应,满足加载过程中牵引力间协调控制要求,实现叶片静载试验平稳加载。
Abstract
During the full-scale static loading test of wind turbine blades, due to the cross-link coupling phenomenon between the traction forces at each loading node on the blade, this characteristic has given rise to the loading force oscillate up and down during the test, which decelerated the control accuracy of multi-point static loading of the blade. On the basis of analyzing the coupling characteristics of the blades, a Beetle Antennae Search algorithm that integrating the idea of random flight at the local optimal solution was proposed, and it was applied to the PID parameter tuning link in the multi-node static loading test for system decoupling control. A four-point static loading coupled simulation model was established to verify the performance and control effect of the algorithm. The field experimental results demonstrated that the loading force curves of the four nodes in the test keep coordinated changes, the process error was less than ±1 kN, and the full load holding stage error was less than 0.5%. The algorithm has strong robustness and fast response speed, it effectively reduces the cross-coupling effect of each node, indicating the newly algorithm meets the requirements of coordinated control between traction forces during the full-scale static blade loading process, and the finding can provide a sufficient reference to stable loading of the blade static load test.
关键词
风电叶片 /
载荷控制 /
PID控制器 /
静力加载
Key words
wind turbine blades /
force control /
PID controller /
static loading
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