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A Novel Position-Sensorless Algorithm for Field-Oriented Control of DFIG With Reduced Current Sensors

机译:具有减小的电流传感器的DFIG磁场定向控制的新型无位置传感器算法

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摘要

Position-sensorless field-oriented control of doubly fed induction generator (DFIG) necessitates at least 4-6 current sensors. In this paper, a novel rotor position and current estimation algorithms are proposed, which make the control of DFIG feasible using only three current sensors. The elimination of one current sensor improves hardware reliability by reducing the redundancy of physical components to be used, thereby reducing the complexity and also the system cost. The proposed algorithms employ two rotor current sensors and one stator current sensor. The current estimation algorithm extracts the components of (i) over bar (s) in d(s)q(s) frame using the sensed value of one stator current and the reference values of (i) over bar (r) components in d(epsilon)q(epsilon) frame. The proposed algorithms reducemathematical burden and dependency onmachine parameters. The effectiveness of proposed algorithm is validated using the real-time control hardware-in-loop, which comprises OPAL-RT and STM32F407VG microcontroller with ARM Cortex-M4 32 bit MCU. Simulation and experimental results on 2MWDFIG-based WECS are presented under steady-state and dynamic wind speed conditions. The performance of proposed algorithm is found to be satisfactory under different operating conditions.
机译:双馈感应发电机(DFIG)的无位置传感器磁场定向控制至少需要4-6个电流传感器。本文提出了一种新颖的转子位置和电流估计算法,该算法仅使用三个电流传感器就可以实现对双馈发电机的控制。消除一个电流传感器可通过减少要使用的物理组件的冗余来提高硬件可靠性,从而降低复杂性并降低系统成本。所提出的算法采用两个转子电流传感器和一个定子电流传感器。电流估计算法使用一个定子电流的感应值和d中杆(r)分量上的(i)的参考值,提取d(s)q(s)帧中的(i)上的(i)的分量。 εq(ε)框架。所提出的算法减少了数学负担并减少了对机器参数的依赖。使用包含OPAL-RT和带有ARM Cortex-M4 32位MCU的STM32F407VG微控制器的实时控制硬件在环,验证了所提算法的有效性。给出了基于2MWDFIG的WECS在稳态和动态风速条件下的仿真和实验结果。发现所提出算法的性能在不同操作条件下令人满意。

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