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Pitch Control of Wind Turbine through PID, Fuzzy and adaptive Fuzzy-PID controllers

机译:通过PID,模糊和自适应Fuzzy-PID控制器控制风力发电机的变桨

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摘要

As the penetration of the wind energy into the electrical power grid is extensively increased, the influence of the wind turbine systems on the frequency and voltage stability becomes more and more significant. Wind turbine rotor bears different types of loads; aerodynamic loads, gravitational loads and centrifugal loads. These loads cause fatigue and vibration in blades, which cause degradation to the rotor blades. These loads can be overcome and the amount of collected power can be controlled using a good pitch controller (PC) which will tune the attack angle of a wind turbine rotor blade into or out of the wind. Each blade is exposed to different loads due to the variation of the wind speed across the rotor blades. For this reason, individual electric drives can be used in future to control the pitch of the blades in a process called Individual Pitch Control. In this thesis work, an enhanced pitch angle control strategy based on fuzzy logic control is proposed to cope with the nonlinear characteristics of wind turbine as well as to reduce the loads on the blades. A mathematical model of wind turbine (pitch control system) is developed and is tested with three controllers -PID, Fuzzy, and Adaptive Fuzzy-PID. After comparing all the three proposed strategies, the simulation results show that the Adaptive Fuzzy-PID controller has the best performance as it regulates the pitch system as well as the disturbances and uncertain factors associated with the system.
机译:随着风能向电网的渗透大大增加,风力涡轮机系统对频率和电压稳定性的影响变得越来越重要。风力涡轮机转子承受不同类型的负载。气动载荷,重力载荷和离心载荷。这些载荷导致叶片中的疲劳和振动,从而导致转子叶片退化。可以克服这些负载,并可以使用良好的变桨控制器(PC)来控制收集的功率,该变桨控制器将调节风力涡轮机转子叶片迎风或迎风的迎角。由于跨转子叶片的风速的变化,每个叶片承受不同的负荷。因此,将来可以在称为“独立变桨控制”的过程中使用单个电驱动器来控制叶片的变桨。在本文工作中,提出了一种基于模糊逻辑控制的增强桨距角控制策略,以应对风力发电机的非线性特性,并减少叶片的负荷。开发了风力涡轮机(变桨控制系统)的数学模型,并使用三个控制器-PID,Fuzzy和Adaptive Fuzzy-PID进行了测试。经过对所有三种策略的比较,仿真结果表明,自适应Fuzzy-PID控制器具有最佳的性能,因为它可以调节变桨系统以及与系统相关的干扰和不确定因素。

著录项

  • 作者

    Baburajan, Silpa.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 61 p.
  • 总页数 61
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

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