Estimating regions of asymptotic stability of power electronics systems using genetic algorithms / Benjamin P. Loop in IEEE Transactions on control systems technology, Vol. 18 N° 5 (Septembre 2010)  

Public ISBD [article]  inIEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1011-1022 Titre : Estimating regions of asymptotic stability of power electronics systems using genetic algorithms Type de document : texte imprimé Auteurs : Benjamin P. Loop, Auteur ; Scott D. Sudhoff, Auteur ; Stanislaw H. Zak, Auteur Année de publication : 2011 Article en page(s) : pp. 1011-1022 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Genetic algorithm Lyapunov methods Optimization Power electronics systems Stability Index. décimale : 629.1 Résumé : Electric power distribution systems composed of power electronics converters are susceptible to instabilities under certain conditions. Small-signal impedance approaches to stability analysis are incapable of predicting large-signal stability properties. Herein, a practical and scalable genetic algorithm based procedure for the estimation of regions of asymptotic stability of power electronics systems is proposed. The procedure is demonstrated on six nonlinear models that range from 6 to 75 state variables. The models represent the dynamics of Naval power electronics-based system components and systems. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5282517 [article] Estimating regions of asymptotic stability of power electronics systems using genetic algorithms [texte imprimé] / Benjamin P. Loop, Auteur ; Scott D. Sudhoff, Auteur ; Stanislaw H. Zak, Auteur . - 2011 . - pp. 1011-1022. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1011-1022 Mots-clés : Genetic algorithm Lyapunov methods Optimization Power electronics systems Stability Index. décimale : 629.1 Résumé : Electric power distribution systems composed of power electronics converters are susceptible to instabilities under certain conditions. Small-signal impedance approaches to stability analysis are incapable of predicting large-signal stability properties. Herein, a practical and scalable genetic algorithm based procedure for the estimation of regions of asymptotic stability of power electronics systems is proposed. The procedure is demonstrated on six nonlinear models that range from 6 to 75 state variables. The models represent the dynamics of Naval power electronics-based system components and systems. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5282517

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