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风力能量转换系统的鲁棒控制:现场可编程门阵列实时实现

Robust control of a wind energy conversion system: FPGA real-time implementation.

作者信息

El Attafi Abdelhafid, El Alami Houda, Bossoufi Badre, AlQahtani Dokhyl, Motahhir Saad, Almalki Mishari Metab, Alghamdi Thamer A H

机构信息

LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez, 30003, Morocco.

Department of Electrical Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.

出版信息

Heliyon. 2024 Aug 3;10(15):e35712. doi: 10.1016/j.heliyon.2024.e35712. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e35712
PMID:39170361
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11336840/
Abstract

This study employs an FPGA board to implement a robust control technique for wind energy conversion systems (WECS). This approach facilitates extensive testing and validation of the control system across diverse wind conditions, utilizing the FPGA's parallel processing capabilities and advanced control algorithms. This method ensures robustness against nonlinearities and system uncertainties. FPGA-in-the-loop (FIL) testing provides precise and effective simulation results, enabling rapid prototyping and iterative modifications of control algorithms. The effectiveness of the robust control strategy is confirmed by FIL findings, demonstrating significant improvements in WECS stability and efficiency. Furthermore, the study highlights the strategy's potential to enhance WECS reliability and efficiency in real-world applications.

摘要

本研究采用现场可编程门阵列(FPGA)开发板为风能转换系统(WECS)实现一种鲁棒控制技术。这种方法利用FPGA的并行处理能力和先进控制算法,便于在各种风况下对控制系统进行广泛测试和验证。该方法确保了对非线性和系统不确定性具有鲁棒性。基于FPGA的在环(FIL)测试提供了精确有效的仿真结果,能够快速进行控制算法的原型设计和迭代修改。FIL测试结果证实了鲁棒控制策略的有效性,表明风能转换系统的稳定性和效率有显著提高。此外,该研究还强调了该策略在实际应用中提高风能转换系统可靠性和效率的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/02bce31c2f83/gr14.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/b30c56690b91/gr8.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/fe0a354c22c7/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/c3f09dc7b352/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/e4e608b35245/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/1593bb40b9f8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/02bce31c2f83/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/30c1c64cce37/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/06fff4241840/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/b3ab23c7c449/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/1a645482402e/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/2fc9e01aad71/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/210074956c68/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/54cd2ac2c96b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/b30c56690b91/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/5b25fd7fab13/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/fe0a354c22c7/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/c3f09dc7b352/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/e4e608b35245/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/1593bb40b9f8/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11336840/02bce31c2f83/gr14.jpg

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