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Neural Computing and Applications

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24.10.2017 | Original Article

Fuzzy logic control on FPGA for two axes solar tracking

verfasst von: J. de la Cruz-Alejo, R. Antonio-Méndez, M. Salazar-Pereyra

Erschienen in: Neural Computing and Applications | Ausgabe 7/2019

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Abstract

This paper presents a practical fuzzy controller two axes solar tracking-based realization on digital FPGA hardware. The fuzzy logic control is based according to Mamdani rules, alpha levels, max–min operations and defuzzification method. Operations and algorithms are reduced using look-up tables for the membership values which are stored as digital values and accessed to the control process. The feasibility and versatility of the proposed technique as well as its potential as a low-cost design for solar tracking control on digital field-programmable gate array (FPGA) are shown by simulated and experimental results in a photovoltaic system under different operation conditions. The proposed realization exhibits good performance related to the control and efficiency.

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Titel: Fuzzy logic control on FPGA for two axes solar tracking
verfasst von: J. de la Cruz-Alejo
R. Antonio-Méndez
M. Salazar-Pereyra
Publikationsdatum: 24.10.2017
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 7/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-017-3207-1

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