A FOC Based Robust Fuzzy Logic Controller for a Wind Energy Conversion System to Overcome Mechanical Parameter Uncertainties

Nabil Dahri, M. Ouassaid, D. Yousfi
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引用次数: 2

Abstract

To improve the wind turbine energy yield and strengthen its reliability, the use of robust control strategies is required. This paper presents a robust fuzzy hybrid controller in the context of overcoming the effect of uncertainties in mechanical parameters of a Wind Energy Conversion System (WECS). The WECS is composed of a Doubly-Fed Induction Generator (DFIG). The Field-Oriented Control technique (FOC) is used to separate between the machine's flux and the machine's torque control. In order to demonstrate the efficacy of the proposed controller, a comparison between the fuzzy hybrid controller and a classical PI controller has been carried out. The obtained result shows that the proposed controller is faster to reach the steady state and less sensitive to the parameter uncertainties in comparison to the classical PI controller.
基于FOC的风力转换系统鲁棒模糊控制器克服机械参数不确定性
为了提高风力发电机组的发电量和增强其可靠性,需要采用鲁棒控制策略。针对风力发电系统机械参数不确定性的影响,提出了一种鲁棒模糊混合控制器。WECS由双馈感应发电机(DFIG)组成。采用磁场定向控制技术(FOC)实现了电机磁链控制与电机转矩控制的分离。为了验证所提控制器的有效性,将模糊混合控制器与经典PI控制器进行了比较。结果表明,与经典PI控制器相比,该控制器能更快地达到稳态,且对参数不确定性的敏感性较低。
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