Name
Abstract | ||
|---|---|---|
After discussing analysis of existing photovoltaic system maximum power point tracking (MPPT) control method, FPGA-based fuzzy MPPT control algorithm is proposed, this method is simple, reliable, and can automatically adjusts with the changes of external environment. Its fast optimization capability makes the system stable at the maximum power point. The MATLAB simulation of fuzzy control proves its fast response and steady-state performance achieve expectation. And fuzzy MPPT algorithm is designed with verilog language and downloaded to the chip. Experiments proved the effectiveness of this method of photovoltaic power generation system. It lays the foundation for SoC (System on a Chip) control. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FSKD.2010.5569127 | FSKD |
Keywords | Field | DocType |
photovoltaic power systems,matlab simulation,verilog language,field-programmable gate arrays,power control,system-on-a-chip control,fuzzy control,fpga-based pv systems,photovoltaic system,system-on-chip,field programmable gate array,fast optimization capability,maximum power point tracking,solar energy conversion,field programmable gate arrays,fuzzy mppt control algorithm,photovoltaic array,pulse width modulation,system on chip,power generation,system on a chip,photovoltaic systems,pv system,niobium,steady state,chip | Computer science,Control theory,Power control,Artificial intelligence,Verilog,Fuzzy control system,Maximum power principle,Photovoltaic system,System on a chip,Pattern recognition,Fuzzy logic,Maximum power point tracking,Embedded system | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-5931-5 | 1 |
PageRank | References | Authors |
0.37 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ze Cheng | 1 | 1 | 0.70 |
| Hongzhi Yang | 2 | 3 | 0.75 |
| Ying Sun | 3 | 41 | 13.51 |