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首页> 外文期刊>Power Electronics, IET >Intelligent control of grid-connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modelling
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Intelligent control of grid-connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modelling

机译：基于TS模糊互连系统建模的WECS并网AC-DC-AC转换器的智能控制

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摘要

Control of power converters is undoubtedly an essential issue in wind-energy systems. This study focuses on the development of a control scheme dedicated to a wind-energy conversion system (WECS) based on Takagi-Sugeno (T-S) fuzzy model. The treated system includes a wind turbine followed by a permanent magnet synchronous generator and power electronic converters. After describing the elements constituting the WECS, the main objectives of control are to extract the maximum amount of available power and to control the DC-bus voltage. The proposed approach is based on the concept of decentralised stabilisation. First, as to reduce the complexity of the system, the WECS is divided into two interconnected non-linear subsystems. Then, each subsystem is represented by a T-S fuzzy model. Using the parallel distributed compensation concept, a decentralised fuzzy controller is synthesised for each subsystem. Sufficient conditions are derived from Lyapunov theory and the local feedback gains for each controller are calculated by using linear matrix inequalities tools. Therefore, the whole closed-loop fuzzy system is stable using the elaborated fuzzy control scheme. Simulation results are included to show the performance of the proposed algorithm.
机译：功率转换器的控制无疑是风能系统中的重要问题。这项研究的重点是基于Takagi-Sugeno（T-S）模糊模型的专用于风能转换系统（WECS）的控制方案的开发。处理后的系统包括风力涡轮机，其后是永磁同步发电机和电力电子转换器。在描述了组成WECS的元素之后，控制的主要目标是提取最大可用功率并控制DC总线电压。提议的方法基于分散式稳定的概念。首先，为了降低系统的复杂性，将WECS分为两个相互连接的非线性子系统。然后，每个子系统由一个T-S模糊模型表示。使用并行分布式补偿概念，为每个子系统合成了一个分散的模糊控制器。从李雅普诺夫理论推导出足够的条件，并使用线性矩阵不等式工具计算每个控制器的局部反馈增益。因此，使用详细的模糊控制方案，整个闭环模糊系统是稳定的。仿真结果包括该算法的性能。

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