Advanced Control of a PMSG Wind Turbine

Hafsi Slah, D. Mehdi, S. Lassâad
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引用次数: 13

Abstract

In this work, an intelligent artificial control of a variable speed wind turbine (PMSG) is proposed. First, a mathematical model of turbine written at variable speed is established to investigate simulations results. In order to optimize energy production from wind, a pitch angle and DC bus control law is synthesized using PI controllers. Then, an intelligent artificial control such as fuzzy logic and artificial neural network control is applied. Its simulated performances are then compared to those of a classical PI controller. Results obtained in MATLAB/Simulink environment show that the fuzzy and the neuro control is more robust and has superior dynamic performance and hence is found to be a suitable replacement of the conventional PI controller for the high performance drive applications.
PMSG风力涡轮机的先进控制
本文提出了一种变速风力发电机组的智能人工控制方法。首先,建立了汽轮机变速工况的数学模型,并对仿真结果进行了分析。为了优化风力发电,利用PI控制器合成了俯仰角和直流母线控制律。然后,应用模糊逻辑和人工神经网络控制等智能人工控制。然后将其模拟性能与经典PI控制器进行了比较。在MATLAB/Simulink环境下的实验结果表明,模糊控制和神经控制具有更强的鲁棒性和更好的动态性能,是替代传统PI控制器实现高性能驱动的理想方法。
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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