Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control

被引:126
作者
Chen, Jian [1 ]
Yao, Wei [2 ]
Zhang, Chuan-Ke [3 ]
Ren, Yaxing [4 ]
Jiang, Lin [4 ]
机构
[1] Yancheng Inst Technol, Sch Elect Engn, Yancheng 224051, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[4] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
基金
中国国家自然科学基金;
关键词
Permanent magnet synchronous generator (PMSG); Nonlinear adaptive control (NAC); Maximum power point tracking (MPPT); Perturbation observer; Perturbation estimation; POWER POINT TRACKING; SLIDING-MODE CONTROL; ENERGY-CONVERSION; FEEDBACK LINEARIZATION; CONTROL STRATEGY; SPEED CONTROL; SYSTEMS; COEFFICIENT; CONVERTER; GENERATOR;
D O I
10.1016/j.renene.2018.11.048
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a robust maximum power point tracking (MPPT) control scheme for a grid connected permanent magnet synchronous generator based wind turbine (PMSG-WT) using perturbation observation based nonlinear adaptive control. In the proposed control scheme, system nonlinearities, parameter uncertainties, and external disturbances of the PMSG-WT are represented as a lumped perturbation term, which is estimated by a high-gain perturbation observer. The estimate of the lumped perturbation is employed to compensate the actual perturbation and further achieve adaptive feedback linearizing control of the original nonlinear system, without requiring the detailed system model and full state measurements. The effectiveness of the proposed control scheme is verified through both simulation studies and experimental tests. The results show that, compared with the conventional vector controller and the standard feedback linearizing controller, the proposed control strategy provides higher power conversion efficiency and has better dynamic performances and robustness against parameter uncertainties and external disturbances. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:478 / 495
页数:18
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