Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/68319
Tipo: Artigo de Periódico
Título: Automatic characterization system of switched reluctance machines and nonlinear modeling by interpolation using smoothing splines
Autor(es): Barros, Tárcio André dos Santos
Santos Neto, Pedro José dos
Paula, Marcelo Vinicius de
Moreira, Adson Bezerra
Nascimento Filho, Paulo Sérgio
Ruppert Filho, Ernesto
Palavras-chave: Switched reluctance machine;Magnetization curves;Smoothing splines
Data do documento: 2018
Instituição/Editor/Publicador: IEEE access
Citação: MOREIRA, A. B. et al. Automatic characterization system of switched reluctance machines and nonlinear modeling by interpolation using smoothing splines. IEEE access, vol. 6, 2018. DOI: 10.1109/ACCESS.2018.2825607
Abstract: This paper presents a high resolution automatic system capable of performing magnetic characterization tests and obtaining the data needed to conduct reliable models for switched reluctance machines (SRM). In addition, the detailed description of the instrumentation system performed in this paper has as contribution the study of mathematical interpolation techniques for the treatment process of test data to obtain a nonlinear model based on lookup tables. It was observed that the commonly used polynomial regressions may cause inaccuracies in the final characteristics of the model data. Thereat, smoothing splines were applied, which results in more accurate and consistent results for the SRMs operation. Thus, it is possible to obtain control projects, optimization systems and advanced studies through computer simulations. Simulation and experimental results have proved the efficiency of the system and have confirmed the importance of achieving real curves when accurate models of a SRM are needed.
URI: http://www.repositorio.ufc.br/handle/riufc/68319
ISSN: 2169-3536
Tipo de Acesso: Acesso Aberto
Aparece nas coleções:DEEL - Artigos publicados em revista científica

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
2018_art_abmoreira.pdf2,7 MBAdobe PDFVisualizar/Abrir


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.