Modeling of an Integrated Traction Motor Protection System

Authors

DOI:

https://doi.org/10.15802/stp2024/303181

Keywords:

traction motor, programmable logic controller (PLC), overload, magnetic field control, temperature control, Hall sensor

Abstract

Purpose. The article is devoted to the creation of traction motor protection by modern methods and means based on a programmable logic controller (PLC). Methodology. To simulate motor fault monitoring in laboratory conditions, magnetic field and temperature sensors were installed on a small powerful induction motor, and then the data obtained from the sensors in normal and overloaded motor modes were analyzed. Based on the research, protection methods were developed. Findings. Previously used simple motor protection systems based on components such as timers, contactors, electromagnetic switches, voltage and current transformers were slow and inaccurate, and had low sensitivity. However, the production of PLCs and their application in this industry has eliminated these problems. The intensive operation of motors as the main executive equipment requires the creation of modern automated protection systems to ensure their reliable and stable operation. Originality. The paper improves the method of protection of traction motors based on the use of programmable logic controllers. In addition to the voltage and current parameters, the proposed method involves monitoring the magnetic field. It also provides for the possibility of adjusting the protection response time. As a result, in the event of overload, short circuit, and other non-standard situations, the improved method provides the system with the ability to make more accurate and reliable decisions. Practical value. The TIA Portal software package has modeled a traction motor protection system by temperature and current and considered its practical application. To make such systems more effective, in the future, comprehensive protection systems based on the diagnostic state of the traction motor can be developed. In addition, an effective system can be created by providing SCADA control of the engines of several vehicles simultaneously.

References

Bhosale, Bh. S., Burad, M. V., Chavan, A. B., & Baji, R. N. (2018). Automatıon and protectıon of ınductıon motor by usıng PLC. International Research Journal of Engineering and Technology (IRJET), 05(4), 3672-3675. (in English)

Bin, W. (2018). A survey on AC motors online fault identification. Motion Control Conferences, 3, 1353-1358. (in English)

Jadhav, S. S., & Khillare, S. S. (2017). Design of PLC and SCADA based Fault Detection and Protection for Induction Motor. International Journal of Motorering Science and Computing, 7(9), 14246-14252. (in English)

Kumar, D., Basit, A., Saleem, A., & Abbas, Engr. G. (2019). PLC Based Monitoring & Protection of 3-Phase Induction Motors against Various Abnormal Conditions. In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (ICoMET) (pp. 294-298). Sukkur, Pakistan. DOI: https://doi.org/10.1109/icomet.2019.8673497 (in English)

Mahanta, B., Gouda, S. K., & Sahu, S. S. (2018). Design of Intelligent Induction Motor Protection System using PLC and SCADA. International Journal of Scientific Research in Science and Technology, 4(4), 575-580. (in English)

Manafov, E., & Huseynov, F. (2023). Application of artificial neuron networks and fuzzy logic in diagnostic and forecasting the technical condition of traction motors. Journal of socıal research & behavıoral scıences, 27(06), 233-239. DOI: https://doi.org/10.36962/piretc27062023-233 (in English)

Manafov, E., Isgandarov, I., & Huseynov, F. (2022). Investigating the protection system of electric motors based on its main working parameters. Scientific Journal of Silesian University of Technology. Series Transport, 115, 63-74. DOI: https://doi.org/10.20858/sjsutst.2022.115.5 (in English)

Mekonnen, S. J., & Reddy, S. G. (2014). Remote Monitoring and Control of Induction Motor using PLC and SCADA. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Motoreringol, 3(9), 9358-9366. (in English)

Narváez-Guerra, N. P., Herrera-Vega, J. A., & Martínez-Flores, J. A. (2019). Remote monitoring and control of three-phase induction motors using a low-cost PLC and SCADA system. IEEE Latin America Transactions, 17(3), 385-391. (in English)

Negrea, M. D. (2006). Electromagnetic flux monitoring for detecting faults in electrical machines (Doctoral dissertation). Helsinki University of Technology, Laboratory of Electromechanics. (in English)

Pradeep, A., Thomas, E., & Mohan, K. (2017). Protection of Induction Motor From Abnormal Conditions using PLC. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Motorering, 6(4), 2570-2574. (in English)

Rode, A. K., & Pathe, M. S. (2019). Fault Detection and Protection of Induction Motor by using PLC. International Journal of Research in Motorering, Science and Management, 3(7). (in English)

Saad, N., & Ibrahim, R. (2018). Development of intelligent condition monitoring system for AC induction motors using PLC. IEEE Business Motorering and Industrial Applications Colloquium (BEIAC), 5, 1466-1472. (in English)

Shashidhara, S. M., & Raju, P. S. (2013). Stator Winding Fault Diagnosis of Three Phase Induction Motor by Park’s Vector Approach. Internatonal Journal of Advance Research In Electircal Electronics and Instrumentation Motorering, 2(7), 2901-2906. (in English)

Yadava, G. S., & Singh, B. (2010). A survey of stator fault analysis techniques for AC motors. IEEE Transactions on Energy Conversion, 20(2), 106-111. (in English)

Downloads

Published

2024-03-18

How to Cite

Manafov, E. K., & Huseynov, F. H. (2024). Modeling of an Integrated Traction Motor Protection System. Science and Transport Progress, (1(105), 51–61. https://doi.org/10.15802/stp2024/303181

Issue

Section

ELECTRIC TRANSPORT, POWER SYSTEMS AND COMPLEXES