2007
DOI: 10.1109/tmag.2007.892494
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R-FL-C Model for Design Optimization of PM Generators

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Cited by 4 publications
(2 citation statements)
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“…Arkadan et al [5] presented a fuzzy logic environment to predict the performance characteristics of different electromagnetic devices for variant design parameters. The system had the capability to optimize the performance of permanent magnet generators by reducing the weight, minimizing total losses, and lowering total harmonic distortions.…”
Section: Application Of Soft Computing Approaches In the Design Of Electromagnetic Devicesmentioning
confidence: 99%
“…Arkadan et al [5] presented a fuzzy logic environment to predict the performance characteristics of different electromagnetic devices for variant design parameters. The system had the capability to optimize the performance of permanent magnet generators by reducing the weight, minimizing total losses, and lowering total harmonic distortions.…”
Section: Application Of Soft Computing Approaches In the Design Of Electromagnetic Devicesmentioning
confidence: 99%
“…Furthermore, [105] (2007) displayed an innovative recursive fuzzy logic categorizing (R-FL-C) strategy for the PM generators design approach that is utilized to mitigate search space and for expelling the local minima in due course of the process of optimization. In the previous research, finite element state space models are used to examine the space database with the knowledge that is acquired from off-line.…”
Section: Soft Computing Technique Based Optimization Used For Pmsgsmentioning
confidence: 99%