Abstract
This paper presents a new method using Fuzzy Logic for generating lightning warnings. This methodology uses information about the atmospheric electric field, the lightning dynamics around the interest site, and lightning distance information. This information was combined by Fuzzy Logic which had its membership functions optimized by Genetic Algorithms. In addition, the objective function was composed by multiple performance indicators proposed in this work. The proposed methodology was tested in a case study, generating lightning warning for an oil refinery. The results were compared with other methods and it was concluded that this new method shows up to be the most effective in generating lightning warnings.
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Acknowledgments
This work was supported by the Technological Institute SIMEPAR, through which the necessary financing to carry out activities relating to this paper was obtained. Moreover, due to SIMEPAR the assignment of the data used in this paper was possible, and due to CNPq and SETI/Araucaria Foundation the granting of scholarships to developing study as well new technologies concerned in this work was possible. The third author acknowledges the support of CNPq and Araucaria Foundation.
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Igarashi, A.Y.S., Leandro, G.V., Oliveira, G.H.C. et al. Genetic Algorithms Optimized Fuzzy Logic Control to Support the Generation of Lightning Warnings. J Control Autom Electr Syst 25, 32–45 (2014). https://doi.org/10.1007/s40313-013-0090-6
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DOI: https://doi.org/10.1007/s40313-013-0090-6