【摘要】 变桨距系统是风力发电机组研究的关键部分。针对其控制技术直接影响整个机组的性能和风能利用效率的状况,在风力机的空气动力学特性分析的基础上,应用神经网络模糊自适应控制,讨论了在低于额定风速时,如何控制风轮转速,从而获得最大的风能利用系数;在高于额定风速时,如何控制桨距角的变化,从而保持输出功率恒定的方法。仿真结果表明了该方法的有效性。更多还原

【Abstract】 The key to the wind power generating systems is the research of variable pitch systems,whose control technology directly affects the function and efficiency of the whole system.On the basis of the research of wind turbine aerodynamic characteristic,an adaptive fuzzy control based on neural network was used to discuss the wind power.At low wind speed,it is adjusted to get the maximum wind energy performance coefficient.At high wind speed,pitch angle is adjusted to keep rated output power.Simulation shows the feasibility of the proposed method.更多还原