期刊论文

中文

电力学报

1005-6548

2014

29

1

66-69

10.13357/j.cnki.jep.002351

本校为第一机构

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.

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 simulat...