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Adaptive passivity-based control for maximum power extraction of stand-alone windmill systems

机译:基于自适应无源性的控制,可用于独立风车系统的最大功率提取

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This paper addresses the high performance regulation of stand-alone windmill systems consisting of a wind turbine coupled to a generator and a battery charging system, which is a challenging problem for at least two reasons. First, the dynamics of the overall system are described by a highly coupled set of nonlinear differential equations. Since the range of operating points of the system is very wide, classical linear controllers yield below par performances. Second, in many applications it is desirable to extract from windmill systems their maximum power. This operating point is a nonlinear function of the wind speed, which is hard to measure. In this paper, a nonlinear passivity-based controller that ensures asymptotic convergence to the maximum power extraction point, which is rendered adaptive combining it with a wind speed estimator previously proposed by the authors, is proposed. Detailed computer simulations are presented to validate the approach.
机译:本文探讨了由风轮机和发电机以及电池充电系统组成的独立风车系统的高性能调节,这至少有两个原因,这是一个具有挑战性的问题。首先,通过高度耦合的一组非线性微分方程来描述整个系统的动力学。由于系统的工作点范围很广,因此经典的线性控制器的产量低于同等性能。第二,在许多应用中,希望从风车系统中提取其最大功率。该工作点是风速的非线性函数,很难测量。本文提出了一种基于非线性无源性的控制器,该控制器可确保渐近收敛至最大功率提取点,并与作者先前提出的风速估计器相结合,使其具有自适应性。提出了详细的计算机仿真以验证该方法。

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