Research on Grid Voltage Feed-forward Control of LCL Inverter consider Capacitor Current Estimate

2020 ◽  
Author(s):  
Jinbo Wu ◽  
Simin Huang ◽  
Weiwei Zhang ◽  
Shengqing Li
Keyword(s):  
Current Estimate ◽  
Feed Forward ◽  
Grid Voltage ◽  
Feed Forward Control

Research on Current Control of Photovoltaic Grid-Connected Inverter

2013 ◽  
Vol 291-294 ◽  
pp. 2446-2451
Author(s):  
Yan Zhang ◽  
Wei Wang ◽  
Shi Tao Wang
Keyword(s):  
Phase Difference ◽  
Field Experiments ◽  
Current Control ◽  
Experimental Results ◽  
Current Frequency ◽  
Feed Forward ◽  
Grid Voltage ◽  
Feed Forward Control ◽  
Grid Connected Inverter

Grid-voltage feed-forward control was added to improve the grid-connected current quality on photovoltaic grid-connected inverter. The method decreases the phase difference between the grid-connected current and grid voltage and reduces the total harmonics distortion (THD) of grid-connected current. So the grid-voltage feed-forward compensation can improve grid-connected current availably and keep the current frequency and phase synchronous to the grid. The study is validated through simulations and field experiments. Experimental results obtained on 2.5-kw inverter demonstrate the feasibility of the proposed method.

scholarly journals A Grid Voltage Feed-forward Control Strategy Based on The Virtual Impedance

2017 ◽  
Vol 139 ◽  
pp. 00137
Author(s):  
Chu Wang ◽  
Jin Wang ◽  
Tian Qin ◽  
Xuhui Liu ◽  
Xiang Wu
Keyword(s):  
Control Strategy ◽  
Feed Forward ◽  
Grid Voltage ◽  
Feed Forward Control ◽  
Virtual Impedance

scholarly journals Model-based feed-forward control for time-varying systems with an example for SRF cavities

2020 ◽  
Vol 53 (2) ◽  
pp. 1331-1336
Author(s):  
Sven Pfeiffer ◽  
Annika Eichler ◽  
Holger Schlarb
Keyword(s):  
Time Varying ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Model Based ◽  
Time Varying Systems ◽  
Srf Cavities

Flatness Feed-Forward Control Model Based on Neural Networks

2014 ◽  
Vol 989-994 ◽  
pp. 3386-3389
Author(s):  
Zhu Wen Yan ◽  
Hen An Bu ◽  
Dian Hua Zhang ◽  
Jie Sun
Keyword(s):  
Neural Networks ◽  
Rolling Mill ◽  
Rolling Force ◽  
Work Roll ◽  
Control Model ◽  
Good Effect ◽  
Feed Forward ◽  
Force Fluctuations ◽  
Feed Forward Control ◽  
Roll Bending

The influence on the shape of the strip from rolling force fluctuations has been analyzed. The combination of intermediate roll bending and work roll bending has been adopted. The principle of rolling force feed-forward control has been analyzed. The feed-forward control model has been established on the basis of neural networks. The model has been successfully applied to a rolling mill and a good effect has been achieved.

scholarly journals Feed-forward control of preshaping in the rat is mediated by the corticospinal tract

2010 ◽  
Vol 32 (10) ◽  
pp. 1678-1685 ◽  
Author(s):  
Jason B. Carmel ◽  
Sangsoo Kim ◽  
Marcel Brus-Ramer ◽  
John H. Martin
Keyword(s):  
Corticospinal Tract ◽  
Feed Forward ◽  
Feed Forward Control
Sign in / Sign up

Export Citation Format

Share Document