返回
Downsampled Iterative Learning Controller for Flyback CCM Inverter
DOI:10.1109/TIE.2017.2723858.png)
摘要
En 中文
We propose a downsampled iterative learning controller (ILC) for a flyback inverter operating in continuous conduction mode (CCM). The flyback CCM inverter features step-up/-down ability, small number of circuit components, and high conversion efficiency, so it is well suited to the distributed renewable energy systems. But the conventional proportional-integral (PI) controller for the flyback CCM inverter shows poor steady-state response because the inverter itself suffers from time-varying grid-voltage disturbances and its transfer function has a right-half plane zero. The ILC itself achieves acceptable steady-state response of the flyback CCM inverter but can excite large overshoot in the iteration domain; this overshoot may destroy the solid state devices in the power circuit. To overcome this problem, we use a downsampled ILC technique that guarantees monotonic convergence of tracking error. The proposed ILC is computationally simple and easy to implement. Numerical simulations and experimental tests validate the proposed control approach.
Keyword:
Continuous conduction mode (CCM)
downsampling
iterative learning control (ILC)
monotonic convergence
single-stage inverter
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
机构
暂无机构信息
引用论文
A note on convergence property of iterative learning controller with respect to sup norm
AUTOMATICA
IF5.9
Monotonically convergent iterative learning control for linear discrete-time systems线性离散系统的单调收敛迭代学习控制
AUTOMATICA
IF5.9
A New Feedback Method for PR Current Control of LCL-Filter-Based Grid-Connected Inverter基于LCL滤波器的并网逆变器PR电流反馈控制新方法

