Modelamiento del motor de inducción para estudios de cortocircuitos entre espiras del estator
DOI:
https://doi.org/10.17533/udea.redin.14912Keywords:
Motores de inducción, fallas entre espiras, modelo del motorAbstract
En este trabajo se presenta la implementación en Matlab del modelo del motor de inducción para realizar estudios de cortocircuitos entre espiras del estator. Para este propósito se usan los bloques del Simulink y los parámetros requeridos por el modelo son obtenidos a partir de la norma IEEE112. Se presentan los resultados teóricos, se muestra la aplicación del modelo en la determinación de la corriente de secuencia negativa como indicador de falla y se describen los resultados de la aplicación experimental a un motor de inducción de 2 Hp el cual se ha acondicionado para realizar corto entre espiras. Se concluye el buen desempeño del modelo al permitir obtener con precisión variables indicativas de fallas en el devanado estatórico de un motor de inducción.
Downloads
References
C. Rojas, M. Melero, M. Cabanas, J. M. Cano, G. A. Orcajo, F. Pedrayes. “Finite Element Model for the Study of Inter-Turn Short Circuits in Induction Motors.” IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. September 1-3. 2007. pp. 415-419. DOI: https://doi.org/10.1109/DEMPED.2007.4393130
S. Williamson, K. Mirzoian. “Analysis of Cage Induction Motors with Winding Fault.” IEEE Transactions on Power Apparatus and Systems. Vol. 104. 1985. pp. 1838-1842. DOI: https://doi.org/10.1109/TPAS.1985.319221
X. Luo, Y. Liao, H. Toliyat, A. El-Antably, T. Lipo. “Multiple Coupled Circuit Modeling of Induction Machines.” IEEE Transactions on Industry Applications. Vol. 31. 1995. pp. 311-317. DOI: https://doi.org/10.1109/28.370279
M. Joksimovic, J. Penman. “The Detection of Inter- Turn Short Circuits in the Stator Windings of Operation Motors.” IEEE Transactions on Industrial Electronics. Vol. 47. 2000. pp. 1078-1084. DOI: https://doi.org/10.1109/41.873216
M. Arkan, D. Kostic, P. J. Unsworth. “Modelling and Simulation of Induction Motor for Stator Fault Diagnosis.” IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. September 1-3, 2001. pp. 537- 546.
K. Monia, C. Gérard, M. Najiba, S. Laurent, Khaled Jelassi. “An Effective Neural Approach for the Automatic Location of Stator Interturn Faults in Induction Motor,” IEEE Transactions On Industrial Electronics. Vol. 55. 2008. pp. 4277-4289 DOI: https://doi.org/10.1109/TIE.2008.2004667
M. Tallam, G. Habetler, G. Herley, “Transient Model for Induction Machines With Stator Winding Turn Faults,” IEEE Transaction on Industry Applications. Vol. 38. 2000. pp. 632-637. DOI: https://doi.org/10.1109/TIA.2002.1003411
M. A. Cruz, A. J. Cardoso, “The Method of Multiple Reference Frames Applied to the Diagnosis of Stator Faults in Three-phase Induction Motors,” Proceeding 4th International Conference on Power Electronics and Motion Control. Xian. China. 2004. pp. 14-16.
F. Villada, D. Cadavid, “Diagnostico de fallas en motores de inducción mediante la aplicación de redes neuronales artificiales”. Información Tecnológica. Vol. 18. 2007. pp. 105-112. DOI: https://doi.org/10.4067/S0718-07642007000200016
J. Jimmie Cathey, J. Rodríguez, Máquinas eléctricas: Análisis y diseño aplicando Matlab. Ed. McGraw Hill. México. 2002. pp.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Revista Facultad de Ingeniería

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Facultad de Ingeniería, Universidad de Antioquia is licensed under the Creative Commons Attribution BY-NC-SA 4.0 license. https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
The material published in the journal can be distributed, copied and exhibited by third parties if the respective credits are given to the journal. No commercial benefit can be obtained and derivative works must be under the same license terms as the original work.
Twitter