Design and Implementation of Fuzzy logic-2DOF controller for Emulation of wind turbine System

P. Manjeera, G. N. Nagesh Kumar, V. Rafi
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引用次数: 1

Abstract

Relating to global warming and the depletion of fossil resources have prompted a radical shift toward renewable energy. In order to satisfy our energy needs, we must use all available renewable resources. Wind energy is becoming increasingly popular, prompting study and development of high-power wind turbines. A controlled test that is not dependent on wind availability is required. Therefore, it is necessary to promote R&D and teaching in wind energy conversation system (WECS). The majority of existing methods employed different emulation topologies for torque compensating and system controlling. However, by using these existing topologies, system complexity increases and disturbance occur in output side. To overcome existing problems for wind turbine emulation, this paper proposes a new topology of a Fuzzy logic controller along with two degrees of freedom control (FLC-2DOF). The proposed fuzzy logic control for emulation of a wind turbine-induction motor drive system along with doubly fed induction generator (DFIG) which is simulated by using MATLAB/SIMULINK software. In this study, the results of a comparison of the suggested FLC- 2DOF control topologies with IDOF and 2DOF control topologies are presented.
风电系统仿真模糊逻辑二自由度控制器的设计与实现
与全球变暖和化石资源的枯竭有关,促使人们彻底转向可再生能源。为了满足我们的能源需求,我们必须利用一切可用的可再生资源。风能日益普及,推动了大功率风力发电机的研究和开发。需要一种不依赖于风力可用性的受控试验。因此,有必要加强风能会话系统的研发和教学。现有的方法大多采用不同的仿真拓扑进行转矩补偿和系统控制。然而,使用这些现有的拓扑结构会增加系统的复杂性,并在输出端产生干扰。针对风力机仿真中存在的问题,提出了一种新的模糊逻辑控制器拓扑结构及两自由度控制(FLC-2DOF)。采用MATLAB/SIMULINK软件对风力发电机-感应电机驱动系统及双馈感应发电机(DFIG)进行了模糊控制仿真。在这项研究中,提出了FLC- 2DOF控制拓扑与IDOF和2DOF控制拓扑的比较结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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