Automatic characterization system of switched reluctance machines and nonlinear modeling by interpolation using smoothing splines

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 ha...

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Detalles Bibliográficos
Autores: Barros, Tárcio André dos Santos, Santos Neto, Pedro José dos, Paula, Marcelo Vinicius de, Moreira, Adson Bezerra, Nascimento Filho, Paulo Sérgio, Ruppert Filho, Ernesto
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Institución:Universidade Federal do Ceará (UFC)
Repositorio:Repositório Institucional da Universidade Federal do Ceará (UFC)
Idioma:inglés
OAI Identifier:oai:repositorio.ufc.br:riufc/68319
Acceso en línea:http://www.repositorio.ufc.br/handle/riufc/68319
Access Level:acceso abierto
Palabra clave:Switched reluctance machine
Magnetization curves
Smoothing splines
Descripción
Sumario: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.