风力发电机叶片MRD模糊LQR减振控制研究

Research on Fuzzy LQR Vibration Reduction Control of Wind Turbine Blade MRD

针对在载荷作用下风力机叶片面内外振动控制问题,基于磁流变阻尼器MRD(Magnetorheological Damper)开展风力机叶片减振控制研究,采用模糊控制和LQR(Linear Quadratic Regulator)控制算法相结合的策略对MRD的阻尼力进行最优控制设计,以实现风力机叶片最优减振控制。首先,介绍MRD的原理和力学模型;其次,以NREL-5MW风力发电机组为数值仿真对象,建立风机叶片MRD动力学模型;最后,设计相应的模糊LQR半主动控制算法,跟踪识别风力机叶片在载荷作用下的动力响应。结果表明:与MRD叶片响应相比,模糊控制及模糊LQR控制策略均具有良好的减振效果,均使叶片面内外响应明显减小。此外,对比分析发现模糊LQR控制效果相比模糊控制效果更好,且叶片减振效果接近LQR主动控制下的位移响应,同时也充分表明该控制方法的合理性和优越性。

The vibration control problem of wind turbine blade surface under internal and external loads is studied.Based on the magnetorheological damper(MRD),the control of wind turbine blade vibration reduction is studied.Fuzzy con-trol and LQR control algorithm are combined to design the optimal control of MRD damping force to achieve the optimal vi-bration reduction control of the wind turbine blades.Firstly,the principle and mechanical model of MRD are introduced.Then,taking the NREL-5MW wind turbine as the numerical simulation object,the MRD dynamics model of the fan blade is established.Finally,a fuzzy LQR semi-active control algorithm is designed to track and identify the dynamic response of wind turbine blades under the load.The results show that both fuzzy control and fuzzy LQR control strategies have good vi-bration reduction effects compared with MRD blade response.Both strategies decrease the inside and outside blade response.In addition,the comparative analysis shows that the fuzzy LQR control effect is even better than the fuzzy control effect.Its blade vibration reduction effect is close to the displacement response under the LQR active control,which also fully demon-strates the rationality and superiority of the control method.