风力发电机组偏航优化控制方法

为提高对风精度,提出了一种新型的偏航系统控制算法——ART2-C和ART2-W控制算法。该算法的核心是:当风向角在正负15°的范围内变化时,采用改进的神经网络ART2-N与爬山算法相结合的控制算法,即ART2-C算法。而在大范围内变化时,则采用改进的神经网络ART2-N与风向标结合的控制算法,即ART2-W算法。并在MATLAB7.0中搭建了仿真平台,给出了程序流程图,仿真验证了该算法的可行性和有效性,提高了对风精度和系统的机械寿命,以及增加了系统的输出功率。

Wind Turbine Yaw Optimal Control Method

In order to improve the accuracy of wind direc- tion, this paper proposes a new yaw control system algorithm ART2-C and ART2-W control algorithm. The core of the algorithm is： when the wind angle changes in the range of plus or minus 15°, a controlling algorithm combining an improved neural network ART2-N and hill-climbing algorithm, namely ART2-C algorithm, is adopted. When it changes in a wide range, a controlling algorithm combining an improved neural network ART2-N and the vane, namely ART2-W algorithm, is adopted. In this paper a simulation platform in MATLAB7.0 is built, and a program flow chart is given. Simulation results veri- fy the feasibility and effectiveness of the algorithm so algorithm may improve the accuracy of the wind direction and the mechanical life of the system, increasing the system＇s output power.