Robust iterative learning control of single-phase grid-connected inverter |
| |
Authors: | Zhong-Qiang Wu Chun-Hua Xu Yang Yang |
| |
Affiliation: | Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China |
| |
Abstract: | For the single phase inductance-capacitance-inductance (LCL) grid-connected inverter in micro-grid, a kind of robust iterative learning controller is designed. Based on the output power droop characteristics of inverter, the current sharing among the inverters is achieved. Iterative learning strategy is suitable for repeated tracking control and inhibiting periodic disturbance, and is designed using robust performance index, so that it has the ability to overcome the uncertainty of system parameters. Compared with the repetitive control, the robust iterative learning control can get high precision output waveform, and enhance the tracking ability for waveform, and the distortion problem of the output signal can be solved effectively. |
| |
Keywords: | Inductance-capacitance-inductance (LCL filter iterative learning robust control power droop-characteristics repetitive control |
本文献已被 CNKI SpringerLink 等数据库收录! |
| 点击此处可从《国际自动化与计算杂志》浏览原始摘要信息 |
|
点击此处可从《国际自动化与计算杂志》下载全文 |