【摘要】 为消除风电叶片静力加载试验中多节点间加载力交联耦合造成的载荷振荡影响，提出一种基于智能优化算法自整定参数的比例-积分-微分（PID）解耦控制策略。首先，建立多节点加载力与挠度变化之间的数学模型，以71.5 m叶片无算法控制加载为例揭示交联耦合响应特性。其次，结合变速积分与不完全微分的PID控制策略，提出一种改进天牛须搜索算法，用于非线性加载过程中PID参数的在线自整定。最后，将提出的控制策略应用于110.5 m风电叶片七节点静载现场试验，结果表明该控制策略能有效降低多节点交联耦合，满足加载力协同控制要求，实现大型叶片静载试验的平稳加载。更多还原

【Abstract】 To eliminate the effect of load oscillation caused by cross-link coupling of loading force between multiple nodes in the static loading test of wind turbine blades, a proportional-integral-derivative(PID) decoupling control strategy based on an intelligent optimization algorithm with self-tuning parameters is proposed. Firstly, the mathematical model, between multi-node loading force and the deflection variation of multiple nodes is established, and the algorithm-free control loading of a 71.5 m blade is taken as an example to reveal the cross-link coupling response characteristics. Secondly, combining the variable speed integral and incomplete differential PID control strategy, an improved Beetle Antennae Search algorithm is proposed for the online self-tuning of PID parameters in the nonlinear loading process. Finally, the proposed control strategy is applied to a seven-node static load proof test of 110.5 m wind turbine blades. The results show that the control strategy can effectively reduce the multi-node cross-link coupling, meet the requirements of coordination control of loading force, and realize stable loading of large blade static loading test.更多还原