Title :
ESR Estimation Method for DC/DC Converters Through Simplified Regression Models
Author :
Buiatti, G.M. ; Amaral, A.M.R. ; Cardoso, A.J.M.
Author_Institution :
Alstom Transp., Semeac
Abstract :
In this paper, simplified regression models useful for parameter extraction are obtained from the hybrid models of Buck and Boost DC/DC converters. These models are used in the ESR estimation of output filter capacitors present in the same circuits for diagnostic purposes. Advantages obtained through the simplified models are outlined regarding the original complete regression models obtained from the respective hybrid models. The simplified and the original parameter estimation methods are both applied and compared between them regarding accuracy, data processing time and reliability of the implemented algorithms. Results obtained from simulations and experimental results are presented.
Keywords :
DC-DC power convertors; regression analysis; ESR estimation method; boost DC/DC converters; buck DC/DC converters; parameter extraction; regression models; Circuits; DC-DC power converters; Mathematical model; Paramagnetic resonance; Parameter estimation; Power electronics; Power system dynamics; Power system modeling; Power system reliability; Topology;
Conference_Titel :
Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1259-4
Electronic_ISBN :
0197-2618
DOI :
10.1109/07IAS.2007.346
