【作者】 程静；

【导师】 王维庆；

【作者基本信息】 新疆大学 ， 控制理论与控制工程， 2004， 硕士

【摘要】 在当今对可再生能源的开发利用中，风能以其无污染、可再生等突出的优点而成为研究的热点。目前各种风力发电技术的发展方兴未艾，相对于定桨距、变桨距等恒速风力发电机组，变速变桨风力发电技术因其高效性和实用性正受到越来越多的重视。由于风力发电机组的控制主要是对风轮转速和输入功率的控制，因此本文在传统风力发电技术的基础上，与PID控制器相对比，对变速风力发电组的模糊控制和神经网络控制进行了详细的分析和研究，采用模糊控制和神经网络控制分别对变速风力发电机组设计了两个控制器，对风轮转速和输入功率进行控制，并对其进行了仿真验证，取得了较满意的结果。更多还原

【Abstract】 Because of its outstanding advantage, the use of wind power is becoming a hot-point during the research of renewable power. Now many kinds of technologies applied to wind power generation are in the ascendant, among which the technology of variable speed and variable pitch is getting increasing recognition for its characteristic of high-efficiency and practicability. Because the control of wind turbine is mainly the control of velocity and power, On the base of the traditional technologies of wind power generation, this thesis will carry out detailed studies on fuzzy Neural networks control of wind power electricity generating, and design two controller for it. Finally, the system is simulinked by MATLAB tool, and make a satisfied result.更多还原