Journals / Balkan Journal of Electrical and Computer Engineering / 2023 / Cilt: 11 Sayı: 3

A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink

Pages
219–224
Publication Date
2023-08-21
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Although the 6/4 and 8/6 models are identical and have the same power converters systems and position sensors, they show different motor behavior due to their dissimilar magnetic structures.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Switched Reluctance Motor (SRM) is one of the oldest types of electric motors.
📊
Key Findings & Data:The popularity of Switched Reluctance Motors has increased in recent years due to their simple structure, ruggedness, reliability, as well as being inexpensive to manufacture and having a high torque to mass ratio.
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Conclusion & Impact:Although the 6/4 and 8/6 models are identical and have the same power converters systems and position sensors, they show different motor behavior due to their dissimilar magnetic structures.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Switched Reluctance Motor · Simulink · PID Control.

Abstract

The Switched Reluctance Motor (SRM) is one of the oldest types of electric motors. SRMs have high torque fluctuations as they have a salient pole structure. The popularity of Switched Reluctance Motors has increased in recent years due to their simple structure, ruggedness, reliability, as well as being inexpensive to manufacture and having a high torque to mass ratio. However, there are some disadvantages, such as high torque ripple, noise and the need for an advanced control system. So they are not extensively used in industry. This study focused on the torque ripple and the speed control aspects. Here, the two most popular and similar Switched Reluctance Motors with regard to motor size, called the 6/4 and 8/6 SRM, have been compared according to the dynamic behavior of their motor parameters. Also, the converters, loads and given power values are the same for the two motor systems. The motor parameters were controlled via MatLab Simulink software. Although the 6/4 and 8/6 models are identical and have the same power converters systems and position sensors, they show different motor behavior due to their dissimilar magnetic structures.

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Cite This Article

GECER, B., SERTELLER, F., ÇALIK, H. (2023). A Detailed Comparison of Two Different Switched Reluctance Motor’s Parameters and Dynamic Behaviors by applying PID Control in Matlab Simulink. Balkan Journal of Electrical and Computer Engineering, Cilt: 11 Sayı: 3, 219–224. https://ajindex.com/articles/965933

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References (14)

  1. Garlet, Tais B., Savian, Fernando S., Siluk, Julio C.M., (2019), “Research, development and innovation management in the energy sector”, Advances in Energy Research, Volume 6, Issue 1, 17-33
  2. Gujarathi, Pritam K., Shah, Varsha A., Lokhande, Makarand M., (2020), “Hybrid artificial bee colony-grey wolf algorithm for multi-objective engine optimization of converted plug-in hybrid electric vehicle”, Advances in Energy Research, Volume 7, Issue 1, 35-52
  3. Nematollahi, Amin Foroughi, Shiva, Navid, (2020), “An application of LAPO: Optimal design of a stand alone hybrid system consisting of WTG/PV/diesel generator/battery”, Advances in Energy Research, Volume 7, Issue 1, 67-84
  4. Kioskerides, I., Mademlis C., (2005), “Maximum efficiency in single-pulse controlled switched reluctance motor drives”, IEEE Transactions on Energy Conversion, Volume 20, 809–817
  5. Gorden R., Straughen A., (2000), “Electric machines”, 1st Edition
  6. Neuhaus, C., Fuengwarodsakul N. and Doncker R., (2006), “Predictive pwm-based direct instantaneous torque control of switched reluctance drives”, Power Electronics Specialists Conference, 1–7
  7. Krishnan, R., (2001), “Switched reluctance motor drives modelling”, CRC Press, London
  8. Aljaism, W., (2015), “Switched reluctance motor design simulation and control”, University of Western Sydney School of Engineering DRG Power Conversion and Intelligent Motion Control
  9. Vikramarajan, J., (2016), “Matlab simulink implementation of switched reluctance motor with direct torque control technique”, Volume 4, ISSN 2321–9939
  10. Hashem, G., Hasanien H., (2010) “Speed control of switched reluctance motor based on fuzzy logic controller”, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10)
  11. Wichert T., Staszewski P., (2008), “Design and construction modifications of switched reluctance machines”, Warsaw University of Technology Ph.D. Thesis
  12. Farah N., Jurifa L., (2017), “Multilevel inverter fed switched reluctance motors (srms) 6/4, 8/6 and 10/8 srm geometric types”, International Journal of Power Electronics and Drive System (IJPEDS), Volume 8, ISSN 2088–8694
  13. Toker K., Serteller F.N., (2017), “A dynamic analysis of bldc motor by using matlab/simulink and mathematica”, Conference on Electrical Electronics Engineering (CHILECON)
  14. Kentli F, Çalik H., (2011), “Matlab-Simulink modelling of 6/4 srm with static data produced using finite element method”, Acta Polytechnica Hungarica,