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Vibration Control of Wind Turbine Blade Based on Data Fitting and Pole Placement with Minimum-Order Observer

机译：基于数据拟合和极点观测器极点配置的风力发电机叶片振动控制

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摘要

Vibration control of wind turbine blade with minimum control cost is investigated. Realization of minimum control cost is based on pole placement with minimum-order observer (PPMO). The blade analysis employs a novel compromise method between the 2D airfoil analysis method and the 3D coupled blade body analysis method based on data fitting. It not only ensures certain accuracy, but also greatly improves the speed of calculation. The Wilson method, developed on the basis of the blade momentum theory, is adopted to optimize the structural parameters of the blade, with all parameters fitted as general model Sin6 (Sum of Sine) fitting curves. Also the aerodynamic coefficients based on data obtained by Xfoil software are fitted. Pole placement technology based on minimum-order observer is applied to control unstable vibrations of vertical bending and lateral bending with minimum control cost characterized by the energy consumption of the controller. 'I he pole placement technology is a novel pole assignment technique based on self-poles derived from constant stable eigenvalues, which can effectively avoid the mismatch problems caused by pole selection. The superiority of PPMO can be apparently demonstrated by comparison of linear quadratic regulator (LQR). Analytical proof of the control accuracy and feasibility analysis of the physical realization of the PPMO algorithm are also investigated by experimental platform of hardware-in-the-loop simulation.
机译：以最小的控制成本研究了风轮机叶片的振动控制。最小控制成本的实现基于具有最小顺序观察器（PPMO）的极点放置。叶片分析在基于数据拟合的2D翼型分析方法和3D耦合叶片主体分析方法之间采用了一种新颖的折衷方法。它不仅保证了一定的准确性，而且大大提高了计算速度。采用基于叶片动量理论开发的Wilson方法来优化叶片的结构参数，所有参数均拟合为通用模型Sin6（正弦和）拟合曲线。还拟合了基于Xfoil软件获得的数据的空气动力学系数。运用基于最小顺序观察者的极点配置技术来控制垂直弯曲和横向弯曲的不稳定振动，同时以控制器的能耗为特征的最小控制成本。极点放置技术是一种基于自恒定稳定特征值得出的自极点的新颖极点分配技术，可以有效避免极点选择引起的不匹配问题。 PPMO的优越性可以通过比较线性二次调节器（LQR）明显证明。通过硬件在环仿真实验平台，研究了PPMO算法控制精度的分析证明和物理实现的可行性分析。

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  • 来源
    《Shock and vibration》 |2018年第5期|5737359.1-5737359.12|共12页
  • 作者

    Chang Lin; Liu Tingrui;

  • 作者单位

    Shandong Univ Sci & Technol, Coll Mech & Elect Engn, Qingdao 266590, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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