2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER) 2017
DOI: 10.1109/ever.2017.7935920
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Power factor improvement using adaptive fuzzy logic control based D-STATCOM

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Cited by 3 publications
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“…There is no need for mathematical modeling of the plant which makes the system less complex, fast and suitable for various non-linearities in the system. In most of the fuzzy logic based algorithms [20][21][22], 7 membership functions are taken for error and derivative of error thus the total number of rules become equals to 49 (7*7). But in this paper, only 3 membership functions are taken consequently the number of rules are reduced to only 9 (3*3).…”
Section: Introductionmentioning
confidence: 99%
“…There is no need for mathematical modeling of the plant which makes the system less complex, fast and suitable for various non-linearities in the system. In most of the fuzzy logic based algorithms [20][21][22], 7 membership functions are taken for error and derivative of error thus the total number of rules become equals to 49 (7*7). But in this paper, only 3 membership functions are taken consequently the number of rules are reduced to only 9 (3*3).…”
Section: Introductionmentioning
confidence: 99%