Fuzzy Sampled-Data Control for DFIG-Based Wind Turbine With Stochastic Actuator Failures

被引：32
作者：
Sharmila, V [1 ]
Rakkiyappan, R. [1 ]
Joo, Young Hoon [2 ]
机构：
[1] Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India
[2] Kunsan Natl Univ, Sch IT Informat & Control Engn, Gunsan 54150, South Korea
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2021年 / 51卷 / 04期
基金：
新加坡国家研究基金会;
关键词：
Doubly fed induction generator (DFIG); sampled-data (SD) control; stochastic actuator failures; Takagi-Sugeno (T-S) fuzzy; FAULT-TOLERANT CONTROL; SYSTEMS SUBJECT; ENERGY-SYSTEMS; SENSOR;
D O I：
10.1109/TSMC.2019.2946873
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The stabilization of fault-tolerant control problem for the doubly fed induction generator (DFIG)-based wind turbine (WT) model has been investigated with stochastic actuator faults by incorporating a Takagi-Sugeno (T-S) fuzzy technique. To depict such stochastic actuator faults, the proposed model is incorporated with Markovian switching parameters for denoting various faulty modes. Besides, a novel fault-tolerant fuzzy switching control with sampled-data (SD) inputs has also been employed for eliminating the stochastic faults so that the stabilization of the system and an optimal H-infinity level could be ensured simultaneously. Furthermore, the stability conditions are derived by employing fuzzy Lyapunov-Krasovskii functionals (LKFs), whose matrices are membership dependent functions. Finally, the proposed control method for the stabilization problem is validated through a numerical simulation performed on the DFIG-based WT model.
引用
收藏
页码：2199 / 2211
页数：13
相关论文
共 50 条
[21]   Low Voltage Ride-through Control Strategy for DFIG-based Wind Turbine Based on Disturbance Attenuation [J].
Zhang R. ;
Qin B. ;
Li H. ;
Liu W. ;
Chen J. .
Qin, Boyu (qinboyu@xjtu.edu.cn), 1600, Automation of Electric Power Systems Press (44) :112-120
[22]   Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids [J].
Gomez, Luis A. G. ;
Grilo, Ahda P. ;
Salles, M. B. C. ;
Sguarezi Filho, A. J. .
ENERGIES, 2020, 13 (04)
[23]   Control Strategy based on Virtual Synchronous Generator of DFIG-Based Wind Turbine under Unbalanced Grid Voltage [J].
Jiao, Yingzong ;
Nian, Heng ;
He, Guoqing .
2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2017,
[24]   Model Predictive Control of a DFIG-Based Wind Turbine Using Three-Level NPC Converter [J].
Zhang, Xuanguang ;
Xie, Zhen ;
Zhang, Xing ;
Yang, Shuying .
6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021), 2021, :18-22
[25]   Considerations Toward Coordinated Control of DFIG-Based Wind Farms [J].
Chaudhuri, Nilanjan Ray ;
Chaudhuri, Balarko .
IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (03) :1263-1270
[26]   Reliable sampled-data fuzzy control for nonlinear systems [J].
Kchaou, Mourad ;
Jerbi, Houssem ;
Abbassi, Rabeh ;
Ben Aoun, Sondess ;
VijiPriya, Jeyamani .
CONTROL ENGINEERING AND APPLIED INFORMATICS, 2022, 24 (04) :3-12
[27]   Inductance-Simulating Control for DFIG-Based Wind Turbine to Ride-through Grid Faults [J].
Zhu, Donghai ;
Zou, Xudong ;
Kang, Yong ;
Deng, Lu ;
Huang, Qingjun .
APEC 2016 31ST ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, 2016, :3521-3525
[28]   Inductance-Emulating Control for DFIG-Based Wind Turbine to Ride-Through Grid Faults [J].
Zhu, Donghai ;
Zou, Xudong ;
Deng, Lu ;
Huang, Qingjun ;
Zhou, Shiying ;
Kang, Yong .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2017, 32 (11) :8514-8525
[29]   Gain Tuning Control Strategy for DFIG-based Wind Farms [J].
Xu, Yao ;
Huang, Can ;
Li, Fangxing ;
Li, Xue ;
Hu, Qinran .
2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
[30]   Stability Enhancement in Distribution Systems with DFIG-Based Wind Turbine by Use of SFCL [J].
Zhao, Yu ;
Krause, Olav ;
Saha, Tapan K. ;
Li, Yong .
2013 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2013,
12345