Minimización del error en la estimación de parámetros eléctricos de motores de inducción trifásicos usando un algoritmo de distribución exponencial
| dc.contributor.advisor | Montoya Giraldo, Oscar Danilo | |
| dc.contributor.author | Zuluaga Arroyave, Miguel Angel | |
| dc.contributor.author | García Hernández, Danna Katherine | |
| dc.contributor.orcid | Montoya Giraldo, Oscar Danilo [0000-0001-6051-4925] | |
| dc.date.accessioned | 2026-02-13T16:13:50Z | |
| dc.date.available | 2026-02-13T16:13:50Z | |
| dc.date.created | 2025-12-11 | |
| dc.description | Este trabajo presenta un estudio detallado sobre la minimización del error en la estimación de parámetros eléctricos de motores de inducción trifásicos, basado en el Algoritmo de Optimización de Distribución Exponencial (EDO), el cual se fundamenta en las propiedades estadísticas de la distribución exponencial, tales como la ausencia de memoria y sus fases de exploración y explotación. El contenido abarca desde el modelado matemático del circuito equivalente de los motores bajo un enfoque de mínimos cuadrados. La metodología fue validada utilizando escenarios de prueba con dos motores, donde el EDO demostró una precisión superior frente a técnicas tradicionales como los algoritmos genéticos y el enjambre de partículas. En conclusión, este trabajo proporciona una solución robusta y eficiente para el análisis y diagnóstico de motores, facilitando su aplicación en estrategias de mantenimiento predictivo y control avanzado en contextos industriales. | |
| dc.description.abstract | This work presents a detailed study on minimizing error in the estimation of electrical parameters of three-phase induction motors, based on the Exponential Distribution Optimization Algorithm (EDO), which is founded on the statistical properties of the exponential distribution, such as the lack of memory and its exploration and exploitation phases. The content covers the mathematical modeling of the motors equivalent circuit under a least-squares approach. The methodology was validated using test scenarios involving two motors, in which EDO demonstrated superior accuracy compared to traditional techniques such as genetic algorithms and particle swarm optimization. In conclusion, this work provides a robust and efficient solution for motor analysis and diagnosis, facilitating its application in predictive maintenance strategies and advanced control in industrial contexts. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/100373 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
| dc.relation.references | Abdel-Basset, M., El-Shahat, D., Jameel, M., and Abouhawwash, M. (2023). Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems. Artificial Intelligence Review, 56(9):9329–9400. | |
| dc.relation.references | Agency, I. E. (2023a). Energy efficiency. Technical report. | |
| dc.relation.references | Agency, I. I. E. (2023b). World energy outlook 2023. | |
| dc.relation.references | Akbaba, M. (1999). Energy conservation by using energy efficient electric motors. Applied Energy, 64(1–4):149–158. | |
| dc.relation.references | Alonge, F., D’Ippolito, F., Ferrante, G., and Raimondi, F. (1998). Parameter identification of induction- motor model using genetic algorithms. | |
| dc.relation.references | Ashraf, J. H., Ahmad, M., and Khalique, A. (2020). A New Generalized Exponential Distribution: Pro- perties and Applications. International Journal of Analysis and Applications, 18:799–818. | |
| dc.relation.references | Bala, A., Hafiz Adesupo, A., Monday Fredrick, O., Baba Kyari, I., Ibrahim Zubairu, U., and Muhammad, B. (2022). Parameters identification of induction motor using bacterial foraging algorithm. International Journal of Engineering and Applied Computer Science, 04(06):01–11. | |
| dc.relation.references | Belmans, R., Deprez, W., and ¨Ozdemir G¨ol (2005). Increasing induction motor drives efficiency: unders- tanding the pitfalls. Prace Instytutu Elektrotechniki, Z-223:7–25. | |
| dc.relation.references | Bocanegra, S. Y., Danilo Montoya, O., and Molina, A. (2021). Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures. DYNA, 88(219):19–27. | |
| dc.relation.references | Chapman, S. J. (2012). Máquinas eléctricas. Quinta edition. | |
| dc.relation.references | Danin, Z., Sharma, A., Averbukh, M., and Meher, A. (2022). Improved Moth Flame Optimization Ap- proach for Parameter Estimation of Induction Motor. Energies, 15(23):8834. | |
| dc.relation.references | Duan, F., Zivanovic, R., Al-Sarawi, S., and Mba, D. (2016). Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm. IEEE Transactions on Industrial Informatics, 12(4):1453–1461. | |
| dc.relation.references | Eiben, A. E. and Smith, J. E. (2015). Introduction to evolutionary computing. Springer. | |
| dc.relation.references | Fajardo Jaimes, A., Ojeda Ruiz, F., Hay Harb, A. K., and Perilla Galindo, G. (2013). Modelado e implementación de un manejador eléctrico para un motor de inducción trifásico. Revista Tecnura, 18(39):94. | |
| dc.relation.references | Ferreira, F. J. T. E., Baoming, G., and de Almeida, A. T. (2016a). Reliability and operation of high- efficiency induction motors. IEEE Transactions on Industry Applications, 52(6):4628–4637. | |
| dc.relation.references | Ferreira, F. J. T. E., Baoming, G., and de Almeida, A. T. (2016b). Reliability and Operation of High- Efficiency Induction Motors. IEEE Transactions on Industry Applications, 52(6):4628–4637. | |
| dc.relation.references | Gallegos Londoño, C. M., Viscaíno Cuzco, M. A., and Sergio Raúl, S. R. (2020). Estudio de fiabilidad, mantenibilidad y disponibilidad aplicado a grupos electrógenos prime. ConcienciaDigital, 3(3):44–61. | |
| dc.relation.references | Guachamin, H. and Giovanny, J. (2018). Análisis de la eficiencia de los motores de inducción que operan bajo diferentes condiciones de fallos. Universitat Politécnica de Valéncia. | |
| dc.relation.references | Guedes, J. J., Castoldi, M. F., Goedtel, A., Agulhari, C. M., and Sanches, D. S. (2018). Parameters estimation of three-phase induction motors using differential evolution. Electric Power Systems Research, 154:204–212. | |
| dc.relation.references | Hashim, F. A., Hussien, A. G., Bouaouda, A., Abdel Samee, N., Khurma, R. A., Alamro, H., and Al- Betar, M. A. (2024). An enhanced exponential distribution optimizer and its application for multi-level medical image thresholding problems. Alexandria Engineering Journal, 93:142–188. | |
| dc.relation.references | Hogg, R., Tanis, E., and Zimmerman, D. (2024). Probability and Statistical Inference Global Edition. Pearson Deutschland. | |
| dc.relation.references | Hsu, J., Kueck, J., Olszewski, M., Casada, D., Otaduy, P., and Tolbert, L. (1996). Comparison of induction motor field efficiency evaluation methods. In IAS ’96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting, volume 1 of IAS-96, pages 703–712. IEEE. | |
| dc.relation.references | International, M. (2018). Guía para la evaluación de elegibilidad de financiación de proyectos de eficiencia energética tipo de proyecto motores de alta eficiencia. | |
| dc.relation.references | IPCC (2023). Climate change 2023: Ar6 synthesis report. Technical report, Intergovernmental Panel on Climate Change. | |
| dc.relation.references | Jaramillo Matta, A. A., FRANCO-MEJ´IA, E., and GUASCH-PESQUER, L. (2011). Estimación de parámetros invariantes para un motor de inducción. DYNA, 78(169):88–94 | |
| dc.relation.references | Jos´e, H. M. S. (2018). Diseño y análisis paramétrico de un motor de inducción trifásico de baja tensión con software jmag. Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación. | |
| dc.relation.references | Kalita, K., Ramesh, J. V. N., Cepova, L., Pandya, S. B., Jangir, P., and Abualigah, L. (2024). Multi- objective exponential distribution optimizer (MOEDO): a novel math-inspired multi-objective algo- rithm for global optimization and real-world engineering design problems. Scientific Reports, 14(1). | |
| dc.relation.references | Lindenmeyer, D., Dommel, H., Moshref, A., and Kundur, P. (2001). An induction motor parameter estimation method. International Journal of Electrical Power & Energy Systems, 23(4):251–262. | |
| dc.relation.references | Mansour, F. (2020). Induction Motors: Construction, Principle of Operation, Power and Torque Calcula- tions, Characteristics and Speed Control. | |
| dc.relation.references | Mej´ıa, A. E., Mu˜noz, F. A. O., and Holgu´ın, M. L. (2008). Estimación de parámetros del motor de inducción a partir de los datos del fabricante. Scientia et Technica Año XIV, 2:78–82. | |
| dc.relation.references | Mohammadi, H. R. and Akhavan, A. (2014). Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization. Journal of Engineering, 2014:1–6. | |
| dc.relation.references | Montano, J., Garzón, O. D., Herrera-Jaramillo, D. A., Montoya, O. D., Andrade, F., and Tobon, A. (2023). Estimating the parameters of a three-phase induction motor using the vortex search algorithm. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 48(1):337–347. | |
| dc.relation.references | Montoya, O. D., De Angelo, C. H., and Bossio, G. (2024a). Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer. Results in Engineering, 23:102446. | |
| dc.relation.references | Montoya, O. D., De Angelo, C. H., and Bossio, G. (2024b). Parametric estimation in three-phase induction motors using torque data via the generalized normal distribution optimizer. Results in Engineering, 23:102446. | |
| dc.relation.references | Motion, A. (2021). Achieving the paris agreement the vital role of high-efficiency motors and drives in reducing energy consumption. | |
| dc.relation.references | Pat, M. A. C. (2018). Estimación de parámetros de un motor de inducción usando redes neuronales y sistemas neurodifusos. Instituto Nacional de Astrofísica, Óptica y Electrónica. | |
| dc.relation.references | Ross, S. (2014). Introduction to Probability and Statistics for Engineers and Scientists. Academic Press. | |
| dc.relation.references | Sakthivel, V., Bhuvaneswari, R., and Subramanian, S. (2010a). Artificial immune system for parameter estimation of induction motor. | |
| dc.relation.references | Sakthivel, V., Bhuvaneswari, R., and Subramanian, S. (2010b). Multi-objective parameter estimation of induction motor using particle swarm optimization. Engineering Applications of Artificial Intelligence, 23(3):302–312. | |
| dc.relation.references | Sarduy, J. R. G. and Oque˜na, E. C. Q. (2020). Determinación de la eficiencia de motores trifásicos de inducción. Technical report, Programa Editorial Universidad Autónoma de Occidente. | |
| dc.relation.references | Singh, V., Gangsar, P., Porwal, R., and Atulkar, A. (2023). Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review. Journal of Intelligent Manufacturing, 34:931–960. | |
| dc.relation.references | Statham, B., Frei, C., Bartlett, N., Gilfillan, S., Reiner, D., and Whittington, E. (2014). Sobre el cambio climático implicaciones para el sector energético. | |
| dc.relation.references | Waide, P. and Brunner, C. U. (2011). Energy-efficiency policy opportunities for electric motor-driven systems international energy agency energy efficiency series. Technical report | |
| dc.relation.references | Walpole, R. and Gallegos, J. (2022). Probabilidad y estadística para ingeniería y ciencias. Pearson Educación. | |
| dc.relation.references | Wang, P., Dou, J., and Zhang, C. (2023). Parameters estimation of three-phase induction motors using whale optimization algorithm. In 2023 China Automation Congress (CAC), pages 6850–6854. IEEE. | |
| dc.relation.references | Zanjan, M. J. and Merrikh-Bayat, F. (2014). New method for accurate parameter estimation of induction motors based on artificial bee colony algorithm. | |
| dc.relation.references | Zerdali, E. (2020). A Comparative Study on Adaptive EKF Observers for State and Parameter Estimation of Induction Motor. IEEE Transactions on Energy Conversion, 35(3):1443–1452. | |
| dc.relation.references | Zhang, C., Chang, X., Dai, J., Chen, Z., and Babanezhad, M. (2025). Designing of a wide-area power system stabilizer using an exponential distribution optimizer and fuzzy controller considering time delays. Scientific Reports, 15(1) | |
| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Optimización de Distribución exponencial | |
| dc.subject | Motor de inducción | |
| dc.subject | Optimización metaheurística | |
| dc.subject | Minimización del error cuadrático medio | |
| dc.subject.keyword | Exponential Distribution Optimization | |
| dc.subject.keyword | Induction motor | |
| dc.subject.keyword | Metaheuristic optimization | |
| dc.subject.keyword | Mean square error minimization | |
| dc.subject.lemb | Ingeniería Eléctrica -- Tesis y disertaciones académicas | |
| dc.subject.lemb | Motores de inducción trifásicos — Parámetros eléctricos — Estimación | |
| dc.subject.lemb | Máquinas eléctricas — Modelos matemáticos | |
| dc.subject.lemb | Algoritmos — Aplicaciones en ingeniería eléctrica | |
| dc.title | Minimización del error en la estimación de parámetros eléctricos de motores de inducción trifásicos usando un algoritmo de distribución exponencial | |
| dc.title.titleenglish | Error Minimization in the Estimation of Electrical Parameters of Three-Phase Induction Motors Using an Exponential Distribution Algorithm | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
Archivos
Bloque original
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 7 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción:
