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Conference Paper: Hybrid trigonometric differential evolution for optimizing harmonic distribution

TitleHybrid trigonometric differential evolution for optimizing harmonic distribution
Authors
Issue Date2005
Citation
Proceedings - IEEE International Symposium on Circuits and Systems, 2005, p. 1306-1309 How to Cite?
AbstractIn this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/336062
ISSN
2023 SCImago Journal Rankings: 0.307

 

DC FieldValueLanguage
dc.contributor.authorHu, Shiyan-
dc.contributor.authorHuang, Han-
dc.contributor.authorCzarkowski, Dariusz-
dc.date.accessioned2024-01-15T08:22:28Z-
dc.date.available2024-01-15T08:22:28Z-
dc.date.issued2005-
dc.identifier.citationProceedings - IEEE International Symposium on Circuits and Systems, 2005, p. 1306-1309-
dc.identifier.issn0271-4310-
dc.identifier.urihttp://hdl.handle.net/10722/336062-
dc.description.abstractIn this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements. © 2005 IEEE.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systems-
dc.titleHybrid trigonometric differential evolution for optimizing harmonic distribution-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ISCAS.2005.1464835-
dc.identifier.scopuseid_2-s2.0-36249004176-
dc.identifier.spage1306-
dc.identifier.epage1309-

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