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

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.

Keywords

• Switched Reluctance Motor
• Simulink
• PID Control.

References

1. [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. [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. [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. [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. [5] Gorden R., Straughen A., (2000), “Electric machines”, 1st Edition.
6. [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. [7] Krishnan, R., (2001), “Switched reluctance motor drives modelling”, CRC Press, London.
8. [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. [9] Vikramarajan, J., (2016), “Matlab simulink implementation of switched reluctance motor with direct torque control technique”, Volume 4, ISSN 2321–9939.
10. [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. [11] Wichert T., Staszewski P., (2008), “Design and construction modifications of switched reluctance machines”, Warsaw University of Technology Ph.D. Thesis.
12. [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. [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. [14] Kentli F, Çalik H., (2011), “Matlab-Simulink modelling of 6/4 srm with static data produced using finite element method”, Acta Polytechnica Hungarica, 23–46.
15. [15] Nutan S., Panda S., (2017), “Speed control with torque ripple reduction of switched reluctance motor by many optimizing liaison technique”, Journel of Electrical Systems and Information Technology (JESIT).
16. [16] Grace L., Nguyen X., (2020), “Design of a low torque ripple three-phase srm for automotive shift-by-wire actuator”, Energies.
17. [17] Honzhong M., Chaozhi H., (2020), “The effect of a single-sided pole shoe and slot on reducing torque ripple in a switched reluctance motor”, Concurrency and Computation: Practice and Experience.
18. [18] Gecer B., Serteller F., (2019), “Investigation of effect of pole number change on operation parameters in switched reluctance motors”, Marmara University Electrical and Electronic Engineering.
19. [19] Sun H., Moghaddam A., (2020), “A novel driving method for switched reluctance motor will standard full bridge inverter, IEEE Transactions on Energy Conversion.
20. [20] Tuan V., Kreuawan S., (2020), “Switched reluctance motor and induction machine for e-scooter based on driving cycles design comparasion”, Transactions on Electrical and Electronic Engineering.
21. [21] Howey B., Liang J., (2020), “Making the case for switched reluctance motors for propulsion applications”, IEEE Transactions on Vehicular Technology. [22] Gecer B., Serteller F., (2020), “Understanding switched reluctance motor analysis using ansys/maxwell”. IEEE 29th International Symposium on Industrial Electronics (ISIE).
22. [23] Gecer B., Tosun O., Apaydin H., Serteller F., (2021), “Comparative Analysis of SRM, BLDC and Induction Motor using ANSYS/Maxwell ”, Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), International Conference.
23. [24] Gecer B., Serteller F., (2020), “Understanding a switched reluctance motor control and analysis methods using Matlab/simulink”. IEEE World Engineering Education Conference (EDUNINE).