Comparative study between two intelligent MPPT-controllers implemented on FPGA: application for photovoltaic systems

Abstract

A comparison between two intelligent maximum power point tracking (MPPT) controllers for photovoltaic systems is presented in this article. The presented MPPTs are based on the fuzzy logic controller (FLC) and neuro-fuzzy controller (NFC). Both controllers are designed and implemented on a Xilinx (Virtex-IIV2MB1000) reconfigurable field programmable gate array using hardware description language. Implemented controllers have been simulated and tested under constant and rapid variation of atmospheric conditions. Results show that the NFC performs better than the FLC in the viewpoint efficiency, response time and stability; however, with regard to the simplicity of implementation, the FLC is less complicated than the NFC.

• MPPT
• photovoltaic
• fuzzy logic
• neuro-fuzzy
• control
• FPGA

Acknowledgements

This work was supported by the TWAS under grant Ref. 09-108 RG/REN/AF/AC_C: UNESCO FR: 3240231224. The third author expresses a special acknowledgment to the International Centre for Theoretical Physics, Italy.