2007 International Aegean Conference on Electrical Machines and Power Electronics 2007
DOI: 10.1109/acemp.2007.4510573
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ANN control of nine level NPC voltage inverter based on selective harmonics elimination

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Cited by 9 publications
(5 citation statements)
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“…Update the switching angles i.e. e(k + 1) = e(k) + t1e(k) 6. Perform e(k + 1) = oos-1 [abs(oos(e(k + 1)))]…”
Section: Newton-raphson Methodsmentioning
confidence: 99%
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“…Update the switching angles i.e. e(k + 1) = e(k) + t1e(k) 6. Perform e(k + 1) = oos-1 [abs(oos(e(k + 1)))]…”
Section: Newton-raphson Methodsmentioning
confidence: 99%
“…Common ones are diode-clamped, flying capacitor or multicell, cascaded H-bridge, and multilevel, modified H-bridge [1][2][3][4][5][6][7][8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
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“…The architecture consists of a single-hidden layer with 20 neurons and the activation function is chosen to be a binary threshold function that introduces a nonlinearity in the structure. The same approach was applied in [145]- [146]. The inverter in [145] consists of two cascaded modified PUC7 that generates 49-levels Asymmetrical MLI where one hidden layer with 10 neurons was used to estimate 24 angles.…”
Section: Figure 17 Synoptic Of the Proposed Auto-tuning Algorithmmentioning
confidence: 99%
“…The inverter in [145] consists of two cascaded modified PUC7 that generates 49-levels Asymmetrical MLI where one hidden layer with 10 neurons was used to estimate 24 angles. In [146], ANN is implemented to reduce the required memory size and computing time in the selective harmonics' elimination technique for 9-levels NPC.…”
Section: Figure 17 Synoptic Of the Proposed Auto-tuning Algorithmmentioning
confidence: 99%