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MPPT Adaptive Controller of DC-based DFIG in Resistances Uncertainty
International Journal of Control, Automation and Systems ( IF 2.5 ) Pub Date : 2021-06-16 , DOI: 10.1007/s12555-020-0302-3
Yuliang Sun , Shaomin Yan , Bin Cai , Yuqiang Wu , Zhongcai Zhang

A coordinated adaptive feedback linearization controller (FLC-A) based on a flux observer for DC-based DFIG to track the maximum power point (MPP) is introduced in this paper. The stator and rotor of DFIG are connected to DC grid directly by two voltage source converters. First, an adaptive controller is used to track the MPP on the system which is decoupled by a single-loop feedback linearization strategy. Meanwhile, the proposed controller can estimate and compensate the changes of stator and rotor resistances caused by physical environment in real time, and improve the dynamic performance of the system; second, under the persistent excitation condition (PED), a stator flux observer with online resistance estimation in the stationary reference frame is adopted to replace the traditional flux calculation method or flux meter, which increases system reliability. The stability of adaptive control rate and nonlinear observer is proved by Lyapunov theory. Simulations are carried out to prove the effectiveness and robustness of the proposed control strategy.



中文翻译:

电阻不确定中直流双馈电机的MPPT自适应控制器

本文介绍了一种基于磁通观测器的协调自适应反馈线性化控制器 (FLC-A),用于跟踪基于直流的 DFIG 以跟踪最大功率点 (MPP)。双馈电机的定子和转子通过两个电压源换流器直接连接到直流电网。首先,自适应控制器用于跟踪系统上的 MPP,该系统通过单回路反馈线性化策略解耦。同时,所提出的控制器可以实时估计和补偿物理环境引起的定转子电阻的变化,提高系统的动态性能;其次,在持续励磁条件(PED)下,采用静止参考系中具有在线电阻估计的定子磁通观测器来代替传统的磁通计算方法或磁通计,这增加了系统的可靠性。Lyapunov理论证明了自适应控制率和非线性观测器的稳定性。进行仿真以证明所提出的控制策略的有效性和鲁棒性。

更新日期:2021-06-17
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