Perturbation estimation based robust state feedback control for grid connected DFIG wind energy conversion system
Perturbation estimation based robust state feedback control for grid connected DFIG wind energy conversion system
复制标题
基于扰动估计的并网双馈风能转换系统鲁棒状态反馈控制
DOI：
10.1016/j.ijhydene.2017.06.222
复制
发表时间：
2017-08
影响因子：
7.2
通讯作者：
Yu T
中科院分区：
文献类型：
--
作者：
Yang Bo;Hu Yilin;Huang Haiyan;Shu Hongchun;Yu Tao;Jiang Lin;Yu T
提出了一种基于扰动估计的双馈感应发电机最大功率点跟踪(MPPT)鲁棒状态反馈控制(PER-SFC)方案。将风力机空气动力学、发电机模型不确定性和风速随机性等非线性因素的组合效应归结为一个摄动，由滑模状态和摄动观测器(SMSPO)在线快速估计。然后，设计了一个线性状态反馈控制器，对摄动估计进行实时完全补偿。此外，该方法只需要测量转子转速和无功功率，而不需要精确的双馈电机模型。在这样的框架下，可以巧妙地结合传统的线性状态反馈控制(实现简单、可靠性高)和非线性鲁棒控制(全局控制一致性和相当强的鲁棒性)的优点。与此同时，它们的固有缺陷可以显著减少。通过实例分析，验证了PER-SFC方法与其他经典方法相比的有效性和优越性。
This paper develops a perturbation estimation based robust state feedback control (PER-SFC) scheme of doubly-fed induction generator (DFIG) for maximum power point tracking (MPPT). The combinatorial effect of nonlinearities originally stemmed from wind turbine aerodynamics, generator modelling uncertainties and wind speed randomness is aggregated as a perturbation, which is rapidly estimated online by a sliding-mode state and perturbation observer (SMSPO). Then, a linear state feedback controller is designed to fully compensate the perturbation estimate in real-time. Furthermore, only the measurement of rotor speed and reactive power is needed while no accurate DFIG model is required by the proposed approach. Under such framework, the elegant merits of conventional linear state feedback control (favourable implementation simplicity and high reliability) and nonlinear robust control (global control consistency and considerable robustness) can be wisely incorporated. Meanwhile, their inherent drawbacks could be significantly reduced. Case studies are undertaken which verify the effectiveness and superiority of PER-SFC compared to that of other classical methods.
登录
查看更多内容
影响因子：
4.9
作者：
Gilmanur Rashid;M. Ali
通讯作者：
Gilmanur Rashid;M. Ali
影响因子：
9
作者：
F. E. Taveiros;L. S. Barros;F. Costa
通讯作者：
F. E. Taveiros;L. S. Barros;F. Costa
影响因子：
7.2
作者：
R. Peña;R. Fernández;R. Mantz
通讯作者：
R. Peña;R. Fernández;R. Mantz
影响因子：
3.9
作者：
J. R. Rodríguez-Rodríguez-J.-R.-Rodríguez-Rodríguez-1403426370;E. Moreno-Goytia;V. Venegas-Rebollar;D. Campos-Gaona;R. A. Félix;L. E. Ugalde-Caballero
通讯作者：
J. R. Rodríguez-Rodríguez-J.-R.-Rodríguez-Rodríguez-1403426370;E. Moreno-Goytia;V. Venegas-Rebollar;D. Campos-Gaona;R. A. Félix;L. E. Ugalde-Caballero
影响因子：
4.9
作者：
Beltran, Brice;Benbouzid, Mohamed El Hachemi;Ahmed-Ali, Tarek
通讯作者：
Ahmed-Ali, Tarek