L2 Norm Enabled Adaptive LMS Control for Grid-Connected Photovoltaic Converters
L2 Norm Enabled Adaptive LMS Control for Grid-Connected Photovoltaic Converters
复制标题
适用于并网光伏转换器的 L2 标准启用自适应 LMS 控制
DOI：
10.1109/tia.2022.3170292
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发表时间：
2022
影响因子：
4.4
通讯作者：
Vikas Gupta
中科院分区：
文献类型：
--
作者：
Ajay Kumar;N. Patel;N. Gupta;Vikas Gupta
针对光伏并网逆变器，提出了一种L2范数使能变步长自适应最小均方控制器。采用可变步长来抑制重量振荡，并在负载和太阳辐射干扰下实现更快的收敛。更确切地说，为了实现无振荡响应，在步长和估计误差之间建立了非线性关系。这样，它大大提高了收敛速度和稳定性。所提出的变步长特征的迭代函数包括输入信号，以研究谐波污染负载电流对权值提取性能的影响。此外，步长的设计过程中考虑了当前和以前的错误状态，从而确保抗干扰性。与包括这些功能，所设计的控制器被应用于准确地提取的基本重量分量的负载电流，并反过来使各种辅助服务。在MATLAB/Simulink软件中设计了该控制算法，并在电网扰动的稳态和瞬态条件下检验了其有效性。在基于ARM Cortex M4微处理器的实验室试验台上，与传统控制方法进行了比较，验证了该控制器的实用性。总之，结果证实了振荡自由重量分量具有更高的收敛性和更好的稳定性，在各种操作条件下。
This article presents an L2 norm-enabled variable step-size adaptive least mean square controller for grid-connected photovoltaic converter. The variable step size is adopted to damp out the weight oscillations and to enable faster convergence under exposure to disturbances in the load and solar insolation. More precisely, to achieve oscillations free response, a nonlinear relationship is developed between step size and estimated error. This way, it significantly improves the convergence speed and stability. The iteration function of the presented variable step-size feature includes the input signal to study the impact of harmonically polluted load current on the weight extraction performance. Besides, the designing procedure of step size considers both current and previous error states, thereby ensuring noise immunity. With the inclusion of these features, the devised controller is applied to accurately extracting the fundamental weight component of the load current and in turn enabling various ancillary services. The proposed control algorithm is designed in matlab/Simulink software and its effectiveness is examined under both steady-state and transient conditions during grid disturbances. Furthermore, the practicability of the proposed controller is verified and compared with conventional controls using ARM cortex M4 microcontroller-based laboratory test bed. In a nutshell, the results confirm the oscillations free weight component with higher convergence and better stability under various operating conditions.