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A combined control strategy of a DFIG based on a sensorless power control through modified phase-locked loop and fuzzy logic controllers

机译:基于改进锁相环和模糊逻辑控制器的无传感器功率控制的DFIG组合控制策略

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This paper presents a study on a sensorless decoupled P-Q control for a doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) with intelligent controllers via Matlab/Simulink. In the absence of mechanical sensors, an algorithm based on modified phase locked loop (MPLL) can estimate the rotor speed and position. An experimental validation of the proposed speed algorithm in steady state was conducted and is presented. In addition, this study focuses on the implementation of fuzzy logic controllers combined with the conventional PI (Proportional-Integral) for the adjustment of active power, reactive power, rotor speed and voltage in dc-link. The combination of fuzzy logic and PI concerns the use of the first as gain tuner of the second one, bearing in mind the significance and simultaneously the difficulty of gain finding. The simulation results of this study are presented to clarify the enhanced effectiveness of the combination of fuzzy logic with PI controllers. Finally, a comparative study between three control strategies, namely, case 1 'with mechanical sensors and P1 controllers', case 2 'sensorless with PI controllers' and case 3 'sensorless with fuzzy logic controllers' was conducted and is also presented. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文介绍了通过Matlab / Simulink对带有智能控制器的基于双馈感应发电机(DFIG)的风能转换系统(WECS)进行无传感器解耦P-Q控制的研究。在没有机械传感器的情况下,基于改进锁相环(MPLL)的算法可以估算转子速度和位置。提出并提出了所提出的速度算法在稳态下的实验验证。此外,本研究着重于将模糊逻辑控制器与常规PI(比例积分)相结合的实现,以调节直流链路中的有功功率,无功功率,转子速度和电压。模糊逻辑和PI的结合涉及到将第一个用作第二个的增益调谐器,同时要记住增益的重要性以及同时发现困难。提出了本研究的仿真结果,以阐明模糊逻辑与PI控制器组合的增强效果。最后,还进行了三种控制策略的比较研究,分别是案例1“带有机械传感器和P1控制器”,案例2“带有PI控制器的无传感器”和案例3“带有模糊逻辑控制器的无传感器”。 (C)2018 Elsevier Ltd.保留所有权利。

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