Adaptive fixed-time sensorless maximum power point tracking control scheme for DFIG wind energy conversion system

被引:24
|
作者
Wang, Jie [1 ]
Bo, Didi [2 ]
机构
[1] Univ Sci & Technol Beijing, Inst Artificial Intelligence, Beijing 100083, Peoples R China
[2] Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300130, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Wind energy conversion system; Maximum power point tracking; Nonsingular terminal sliding mode control; Adaptive fixed-time stability; TURBINES; EXTRACTION; ALGORITHM; PITCH; MPPT;
D O I
10.1016/j.ijepes.2021.107424
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work investigates the adaptive fixed-time control scheme to the maximum power point tracking (MPPT) control of double-fed induction generator (DFIG) based wind energy conversion system (WECS). Firstly, a fixedtime observer is designed to estimate the aerodynamic torque without the wind speed sensors. Optimal torque control is employed to obtain the real-time value of the optimal rotation speed by the torque observer. Then, an adaptive fixed-time nonsingular terminal sliding mode controller is proposed to implement optimal rotation speed tracking for MPPT of DFIG based WECS without the upper bound information of disturbances and system uncertainties in advance. The complete proof process of the stability of system and fixed-time convergence characteristics of the observer and the controller based on the Lyapunov theorem is constructed. Finally, simulation studies verify the effectiveness and strong robustness of the proposed method by Matlab/Simulink.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Wind velocity and rotor position sensorless maximum power point tracking control for wind generation system
    Senjyu, Tomonobu
    Tamaki, Satoshi
    Muhando, Endusa
    Urasaki, Naomitsu
    Kinjo, Hiroshi
    Funabashi, Toshihisa
    Fujita, Hideki
    Sekine, Hideomi
    [J]. RENEWABLE ENERGY, 2006, 31 (11) : 1764 - 1775
  • [32] Sensorless Control Scheme of DFIG Wind Energy Conversion Systems Based on SOGIs and FLL
    Anh Tan Nguyen
    Lee, Dong-Choon
    [J]. 2019 IEEE 10TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG 2019), 2019, : 466 - 472
  • [33] Sensorless wind energy conversion system maximum power point tracking using Takagi-Sugeno fuzzy cerebellar model articulation control
    Liu, Peter
    Yang, Wen-Tsung
    Yang, Chang-En
    Hsu, Chia-Lien
    [J]. APPLIED SOFT COMPUTING, 2015, 29 : 450 - 460
  • [34] Maximum Power Point Tracking Control of IPMSG with Loss Minimization Algorithm for Wind Energy Conversion System
    Uddin, M. Nasir
    Patel, Nirav
    [J]. 2013 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2013,
  • [35] Optimal control based RST controller for Maximum Power Point Tracking of Wind Energy Conversion System
    Soufi, Y.
    Kahla, S.
    Sedraoui, M.
    Bechouat, M.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2016, : 1168 - 1172
  • [36] A novel collaborative control algorithm for maximum power point tracking of wind energy hydraulic conversion system
    Chen, Lijuan
    Li, Jingbin
    Zhang, Lin
    Gao, Wei
    Ai, Chao
    Ding, Beichen
    [J]. WIND ENERGY, 2023, 26 (12) : 1299 - 1317
  • [37] Reference Speed Optimizer Controller for Maximum Power Tracking in Wind Energy Conversion System Involving DFIG
    El Fadili, Abderrahim
    Boutahar, Safae
    Dhorhi, Ismail
    Stitou, Mohamed
    Lajouad, Rachid
    El Magri, Abdelmounime
    Kheddioui, Elm'kaddem
    [J]. 2018 RENEWABLE ENERGIES, POWER SYSTEMS & GREEN INCLUSIVE ECONOMY (REPS-GIE), 2018,
  • [38] Maximum Power Point Tracking Algorithm for Wind Power Conversion System
    Zhu, Yue-Ping
    Yang, Zong-Xiao
    Si, Ai-Qi
    Song, Lei
    [J]. 2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2014, : 602 - 606
  • [39] Maximum Power Point Tracking Control of IPMSG Incorporating Loss Minimization and Speed Sensorless Schemes for Wind Energy System
    Uddin, M. Nasir
    Patel, Nirav
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2016, 52 (02) : 1902 - 1912
  • [40] Maximum Power Point Tracking in Wind Energy Conversion Systems Using Tracking Control System Based on Fuzzy Controller
    Mahdavian, M.
    Wattanapongsakorn, N.
    Shahgholian, G.
    Mozafarpoor, S. H.
    Janghorbani, M.
    Shariatmadar, S. M.
    [J]. 2014 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2014,