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用于风力发电系统的非线性鲁棒滑模-反步混合控制——理论设计与实验评估

Nonlinear robust sliding mode - Backstepping hybrid control for WECS -theoretical design and experimental evaluation.

作者信息

Echiheb Farah, Elkafazi Ismail, Bossoufi Badre, El Bhiri Brahim, Almalki Mishari Metab, A H Alghamdi Thamer

机构信息

LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Morocco.

SMARTilab Laboratory, Moroccan School of Engineering Sciences Rabat, Morocco.

出版信息

Heliyon. 2024 May 22;10(11):e31767. doi: 10.1016/j.heliyon.2024.e31767. eCollection 2024 Jun 15.

DOI:10.1016/j.heliyon.2024.e31767
PMID:38841508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11152687/
Abstract

This paper proposes a new contribution in the field of optimizing control techniques for wind systems to enhance the quality of the energy produced in the grid. Although the Sliding Mode control technique, whether classical or involving the use of artificial intelligence, has shown interesting results, its main drawback lies in the oscillation phenomenon commonly referred to as "chattering." This phenomenon affects the accuracy and robustness of the system, as well as the parametric variation of the system. In this work, we propose a solution that combines two nonlinear techniques based on the Lyapunov theorem to eliminate the chattering phenomenon. It is a hybrid approach between the Backstepping strategy and the Sliding Mode, aiming to control the active and reactive powers of the doubly fed induction generator (DFIG) connected to the electrical grid by two converters (grid side and machine side). This hybrid technique aims to improve the performance of the wind system in terms of precision errors, stability, as well as active and reactive power. The proposed solution has been validated in the Matlab & Simulink environment to assess the performance and robustness of the proposed model, as well as experimentally validated on a test bench using the DSPACE 1104 card. The obtained results are then compared with other techniques, demonstrating a significant improvement in performance.

摘要

本文在风力系统优化控制技术领域提出了一项新贡献,以提高电网中产生的电能质量。尽管滑模控制技术,无论是经典的还是涉及人工智能应用的,都已显示出有趣的结果,但其主要缺点在于通常被称为“抖振”的振荡现象。这种现象会影响系统的精度和鲁棒性,以及系统的参数变化。在这项工作中,我们提出了一种基于李雅普诺夫定理的结合两种非线性技术的解决方案,以消除抖振现象。这是一种反步法策略和滑模之间的混合方法,旨在通过两个变流器(电网侧和电机侧)控制连接到电网的双馈感应发电机(DFIG)的有功和无功功率。这种混合技术旨在在精度误差、稳定性以及有功和无功功率方面提高风力系统的性能。所提出的解决方案已在Matlab & Simulink环境中得到验证,以评估所提模型的性能和鲁棒性,并在使用DSPACE 1104卡的试验台上进行了实验验证。然后将所得结果与其他技术进行比较,结果表明性能有显著提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/718bcf5dcc81/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/f68bd2eb9e4c/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/2bfb9df63aad/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/0a74b97f2cc2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/c26dc452dee9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5e763683bb8d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/460a17ab4586/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e54a45a093ab/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5656ced691c3/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5f786db6cc1a/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e0d2e80214ca/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/c11d5d1a8d6a/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e99c78f1a1d8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/718bcf5dcc81/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/f68bd2eb9e4c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/8d690d49ff52/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/2bfb9df63aad/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/0a74b97f2cc2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/c26dc452dee9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5e763683bb8d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/460a17ab4586/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e54a45a093ab/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5656ced691c3/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/5f786db6cc1a/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e0d2e80214ca/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/c11d5d1a8d6a/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/e99c78f1a1d8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/11152687/718bcf5dcc81/gr14.jpg

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Evaluating the performances of PI controller (2DOF) under linear and nonlinear operations of DFIG-based WECS: A simulation study.基于双馈感应发电机的风力发电系统线性和非线性运行下PI控制器(二自由度)性能评估:一项仿真研究
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