引入权值修正预测控制的风电叶片自适应组合抑振策略研究

RESEARCH ON ADAPTIVE COMBINED VIBRATION SUPPRESSION STRATEGY OF WIND POWER BLADE BASED ON WEIGHT MODIFIED PREDICTIVE CONTROL

针对大型风电叶片颤振开展主动控制研究,采用柔性尾缘襟翼方式,以NACA0012翼型为研究对象,建立二自由度叶片的颤振控制增广模型。引入拉盖尔函数对模型预测控制(MPC)算法中权值更新策略进行指数修正,在此基础上利用分层结构思想对叶片减振系统划分不同控制层次,设计以振动量最小化为控制目标的自适应组合控制策略。利用仿真平台对标准工况和干扰工况下所提控制策略的控制结果进行分析,结果表明:所提方法可有效抑制气弹耦合作用下的叶片振动,降低抑振能耗,与常规自适应控制方法相比,具备更优的抗干扰性能,可进一步提升复杂运行环境下风电叶片振动控制系统的适应能力。

Active control research was carried out on the flutter of large wind power blades,and the flutter control and widening model of two-degree-of-freedom blades was established by using flexible tail flaps and NACA0012 airfoil as the research object.The Laguerre function is introduced to index correct the weight update strategy in the model predictive control(MPC)algorithm,and on this basis,the hierarchical structure idea is used to divide the blade vibration damping system into different control levels,and an adaptive combination control strategy with the vibration minimization as the control goal is designed.The simulation platform is used to analyze the control results of the proposed control strategy under standard working conditions and interference conditions,and the results show that the proposed method can effectively suppress the blade vibration under the coupling action of air-elasticity,reduce the vibration suppression energy consumption,and have better anti-interference performance compared with the conventional adaptive control method,which can further improve the adaptability of the wind power blade vibration control system in complex operating environments.