Compatibility of Anfis controller and FPGA in solar power generation for a domestic oad

Arulprakash Andigounder, Arulmozhiyal Ramasamy

Resumo


Among other soft computing techniques, the Adaptive Neuro Fuzzy Inference System (Anfis) gives a significant and advantageous result in solar power generation, especially in tracking the maximum power point. Due to the dynamic nature of solar irradiance and temperature, efficient energy conversion is not possible. However, advancements in the areas of artificial intelligence have made it possible to overcome the hurdles. The Maximum Power Point Tracking (MPPT) technique adopting the advantages of Anfis has been proven to be more successful with a fast dynamic response and high accuracy. The complete system is modeled using Matlab/Simulink; the hardware results are validated with the benefits of Field Programmable Logic Array (FPGA) instead of ordinary micro-controllers.

 


Palavras-chave


solar power generation; MPPT; Anfis controller; DC-AC power conversion; FPGA

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DOI: http://dx.doi.org/10.4025/actascitechnol.v38i3.28392





ISSN 1806-2563 (impresso) e ISSN 1807-8664 (on-line) e-mail: actatech@uem.br

  

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