2018
DOI: 10.1080/08839514.2018.1506969
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High Frequency Transformer Design and Optimization using Bio-inspired Algorithms

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Cited by 9 publications
(7 citation statements)
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“…Nevertheless, this leads to a challenging design of magnetic circuits where parasitic effects play a key role. According to [23,24], most of the proposed designs are based on optimization routines, depending on the temperature rise and assuming uniform heat dissipation. Some authors consider the desired efficiency as a design input for the HFT [24]; otherwise, the optimization is focused on the A p area [25,26].…”
Section: Transformer Modelingmentioning
confidence: 99%
“…Nevertheless, this leads to a challenging design of magnetic circuits where parasitic effects play a key role. According to [23,24], most of the proposed designs are based on optimization routines, depending on the temperature rise and assuming uniform heat dissipation. Some authors consider the desired efficiency as a design input for the HFT [24]; otherwise, the optimization is focused on the A p area [25,26].…”
Section: Transformer Modelingmentioning
confidence: 99%
“…This is a lengthy process because whenever an operating parameter violates the bounds, the algorithm hunts for a new optimal solution that satisfies the limits. With all the above concerns in mind, the work reported in [25] was intended to develop a novel optimization procedure for the design of HFT which takes into account the core geometry coefficient (in cm 5 ) [6] with a constraint inflicted on loss density. The method proposed confines all the working parameters within expected limits while preserving desired efficiency.…”
Section: Literature Backgroundmentioning
confidence: 99%
“…Equation 14may be considered as the second condition that needs to be satisfied to ensure the minimization of the HFF. Therefore, combining both (10) and (14) leads to the desired sufficient condition for which the HFF may be considered as minimized. Hence, we have,…”
Section: ) Hff Response Of Litz-wire Winding In 200w Lhfgt (Verificamentioning
confidence: 99%
“…In order to utilize the benefit of these A prod and K G CWSS models, researchers have combined these models with brute-force iterative techniques to reduce the number of iterations for obtaining the optimal design. The A prod model has been integrated into the iterative methods proposed in [11], [15], [31]- [36], whereas the K G model has been employed in [14], [37]. Although, these improved techniques with the incorporation of the CWSS models result in a feasible design with reduced iterations, however, the limitations of these conventional A prod and K G models reduce the overall applicability.…”
Section: Introductionmentioning
confidence: 99%