Performance enhancements of DFIG wind turbine using fuzzy-feedback linearization controller augmented by high-gain observer

Author:

Boureguig Kada,Mansouri Abdellah,Chouya Ahmed

Abstract

<span>This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB-SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.</span>

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Backstepping control of DFIG wind turbine system based rotor flux observer;STUDIES IN ENGINEERING AND EXACT SCIENCES;2024-08-26

2. Synthesis of Observers for the Three Tank System;2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE);2023-10-12

3. Comparative Study Between Robust SMC and H Controller of a DVAWT System Based on DFIG;2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE);2022-09-29

4. A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators;Ain Shams Engineering Journal;2022-03

5. A new fractional-order developed type-2 fuzzy control for a class of nonlinear systems;International Journal of Systems Science;2021-01-15

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