使用基于自适应金鹰优化器的改进型分数阶 PID 滑动模式观测器进行双馈变流器故障检测

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Dongdong Li, Pengtao Xu, Xiaolu Li, Yao Zhao, Shunfu Lin
{"title":"使用基于自适应金鹰优化器的改进型分数阶 PID 滑动模式观测器进行双馈变流器故障检测","authors":"Dongdong Li, Pengtao Xu, Xiaolu Li, Yao Zhao, Shunfu Lin","doi":"10.1007/s42835-024-01965-x","DOIUrl":null,"url":null,"abstract":"<p>This paper presents a fault detection approach for doubly-fed induction generators (DFIG) utilizing an improved fractional-order PID sliding mode observer (IFOPID-SMO). The IFOPID-SMO eliminates chattering and demonstrates superior stability effectively and has a faster convergence speed compared to other observers. Firstly, the stator voltage-oriented vector control method is employed to establish the nonlinear space state vector equation of the DFIG. Then, the IFOPID-SMO is constructed based on the DFIG’s mathematical model, and the d-q axis currents of the rotor are estimated. Secondly, the observer parameters are optimized using the adaptive golden eagle optimization algorithm, which enhances the convergence speed and steady-state accurateness of the observer significantly. Furthermore, the asymptotic stability of the IFOPID-SMO is analyzed by Lyapunov’s second law, which guarantees that the system state converges to a steady value rapidly and stably. Finally, three faults of DFIG including stator inter-turn short-circuit fault, rotor inter-turn short-circuit fault, and rotor current sensor faults are detected respectively. The effectiveness of the IFOPID-SMO is demonstrated through the data recorded of a doubly-fed wind power test bench under unfaulty and three faulty operation conditions.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"28 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Detection of DFIG Using an Improved Fractional-Order PID Sliding Mode Observer Based on the Adaptive Golden Eagle Optimizer\",\"authors\":\"Dongdong Li, Pengtao Xu, Xiaolu Li, Yao Zhao, Shunfu Lin\",\"doi\":\"10.1007/s42835-024-01965-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents a fault detection approach for doubly-fed induction generators (DFIG) utilizing an improved fractional-order PID sliding mode observer (IFOPID-SMO). The IFOPID-SMO eliminates chattering and demonstrates superior stability effectively and has a faster convergence speed compared to other observers. Firstly, the stator voltage-oriented vector control method is employed to establish the nonlinear space state vector equation of the DFIG. Then, the IFOPID-SMO is constructed based on the DFIG’s mathematical model, and the d-q axis currents of the rotor are estimated. Secondly, the observer parameters are optimized using the adaptive golden eagle optimization algorithm, which enhances the convergence speed and steady-state accurateness of the observer significantly. Furthermore, the asymptotic stability of the IFOPID-SMO is analyzed by Lyapunov’s second law, which guarantees that the system state converges to a steady value rapidly and stably. Finally, three faults of DFIG including stator inter-turn short-circuit fault, rotor inter-turn short-circuit fault, and rotor current sensor faults are detected respectively. The effectiveness of the IFOPID-SMO is demonstrated through the data recorded of a doubly-fed wind power test bench under unfaulty and three faulty operation conditions.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-01965-x\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-01965-x","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种利用改进型分数阶 PID 滑动模式观测器(IFOPID-SMO)进行双馈感应发电机(DFIG)故障检测的方法。与其他观测器相比,IFOPID-SMO 能有效消除颤振,表现出卓越的稳定性和更快的收敛速度。首先,采用定子电压导向矢量控制方法建立双馈变流器的非线性空间状态矢量方程,然后根据双馈变流器的数学模型构建 IFOPID-SMO 并估计转子的 d-q 轴电流。其次,利用自适应金鹰优化算法对观测器参数进行优化,从而显著提高观测器的收敛速度和稳态精度。此外,利用李亚普诺夫第二定律分析了 IFOPID-SMO 的渐近稳定性,保证了系统状态快速稳定地收敛到稳定值。最后,分别检测了 DFIG 的三种故障,包括定子匝间短路故障、转子匝间短路故障和转子电流传感器故障。通过双馈风力发电试验台在无故障和三种故障运行条件下记录的数据,证明了 IFOPID-SMO 的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fault Detection of DFIG Using an Improved Fractional-Order PID Sliding Mode Observer Based on the Adaptive Golden Eagle Optimizer

Fault Detection of DFIG Using an Improved Fractional-Order PID Sliding Mode Observer Based on the Adaptive Golden Eagle Optimizer

This paper presents a fault detection approach for doubly-fed induction generators (DFIG) utilizing an improved fractional-order PID sliding mode observer (IFOPID-SMO). The IFOPID-SMO eliminates chattering and demonstrates superior stability effectively and has a faster convergence speed compared to other observers. Firstly, the stator voltage-oriented vector control method is employed to establish the nonlinear space state vector equation of the DFIG. Then, the IFOPID-SMO is constructed based on the DFIG’s mathematical model, and the d-q axis currents of the rotor are estimated. Secondly, the observer parameters are optimized using the adaptive golden eagle optimization algorithm, which enhances the convergence speed and steady-state accurateness of the observer significantly. Furthermore, the asymptotic stability of the IFOPID-SMO is analyzed by Lyapunov’s second law, which guarantees that the system state converges to a steady value rapidly and stably. Finally, three faults of DFIG including stator inter-turn short-circuit fault, rotor inter-turn short-circuit fault, and rotor current sensor faults are detected respectively. The effectiveness of the IFOPID-SMO is demonstrated through the data recorded of a doubly-fed wind power test bench under unfaulty and three faulty operation conditions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信