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Year 2025, Volume: 8 Issue: 1, 28 - 41, 28.03.2025
https://doi.org/10.33187/jmsm.1637233

Abstract

References

  • [1] T. J. E. Miller, Switched Reluctance Motors and Their Control, Oxford Science Publications, 2018.
  • [2] P. J. Lawrenson, J. M. Stephenson, P. T. Blenkinsop, et al., Variable-speed switched reluctance motors, IEE Proc. B Electr. Power Appl., 127 (4) (1980), 253–265. https://doi.org/10.1049/ip-b.1980.0034
  • [3] R. Krishnan, Switched Reluctance Motor Drives: Modelling, Simulation, Analysis, Design, and Applications, CRC Press, 2001.
  • [4] M. A. Patel, K. Asad, Z. Patel, et al., Design and optimisation of slotted stator tooth switched reluctance motor for torque enhancement for electric vehicle applications, Int. J. Ambient Energy, 43(1) (2021), 4283–4288.
  • [5] K. Diao, X. Sun, G. Bramerdorfer, et al., Design optimisation of switched reluctance machines for performance and reliability enhancements: A review, Renew. Sustain. Energy Rev., 168 (2022), Article 112785.
  • [6] X. Sun, X. Tang, X. Tian, et al., Sensorless control with Fault-Tolerant ability for switched reluctance motors, IEEE Trans. Energy Convers., 37(2) (2022), 1272–1281.
  • [7] M. Omar, E. Sayed, M. Abdalmagid, et al., Review of machine learning applications to the modelling and design optimisation of switched reluctance motors, IEEE Access, 10 (2022), 130444–130468.
  • [8] K. Vijayakumar, R. Karthikeyan, S. Paramasivam, et al., Switched reluctance motor modelling, design, simulation, and analysis: A comprehensive review, IEEE Trans. Magn., 44(12) (2008), 4605–4617.
  • [9] Z. Xu, T. Li, F. Zhang, et al., A review on segmented switched reluctance motors, Energies, 15(23) (2022), 9212.
  • [10] A. Peniak, J. Makarovic, P. Rafajdus, et al., Design and optimisation of switched reluctance motor for electrical vehicles, Electr. Eng., 99 (2017), 1393–1401.
  • [11] X. Gao, R. Na, C. Jia, et al., Multi-objective optimisation of switched reluctance motor drive in electric vehicles, Comput. Electr. Eng., 70 (2018), 914–930.
  • [12] M. Tursini, M. Villani, G. Fabri, et al., A switched-reluctance motor for aerospace application: Design, analysis and results, Electr. Power Syst. Res., 142 (2017), 74–83.
  • [13] R. Krishnan, An energy-efficiency-enhanced switched reluctance motor [From Mind to Market], IEEE Ind. Electron. Mag., 1(1) (2007), 4–6.
  • [14] S. K. Sahoo, S. K. Panda, J. X. Xu, Iterative learning-based high-performance current controller for switched reluctance motors, IEEE Trans. Energy Convers., 19(3) (2004), 491–498.
  • [15] Z. Touati, M. Pereira, R. E. Ara´ujo, et al., Integration of switched reluctance generator in a wind energy conversion system: An overview of the state of the art and challenges, Energies, 15(13) (2022), 4743.
  • [16] B. Bilgin, J.W. Jiang, A. Emadi, Switched Reluctance Motor Drives: Fundamentals to Applications, CRC Press, Boca Raton, FL, 2018.
  • [17] R. M. Pindoriya, B. S. Rajpurohit, R. Kumar, et al., Comparative analysis of permanent magnet motors and switched reluctance motors capabilities for electric and hybrid electric vehicles, Proceedings of the 2018 IEEMA Engineer Infinite Conference (eTechNxT) (2018), 1–5.
  • [18] L. Feng, X. Sun, G. Bramerdorfer, et al., A review on control techniques of switched reluctance motors for performance improvement, Renew. Sustain. Energy Rev., 199 (2024), Article 114454.
  • [19] E. Büyükbıçakcıakcı, A. F. Boz, Examination of state equations and dynamic simulation results of a new type 5-phase switched reluctance motor with a segmental rotor, Kirklareli Univ. J. Eng. Sci., 7(2) (2021), 232–256.
  • [20] D. Uygun, G. Bal, Linear model of a novel 5-phase segment type switched reluctance motor, Electron. Electr., 20(3) (2014), 3–7.
  • [21] P. J. Lawrenson, L. Agu, Development of reluctance motors for Industrial Applications, Proceedings of the Institution of Electrical Engineers, 111(3) (1964), 243–251.
  • [22] A. G. Jack, B. C. Mecrow, J. A. Haylock, A Comparative study of permanent magnet and switched reluctance motors for high-performance Fault-Tolerant applications, IEEE Trans. Ind. Appl., 32(4) (1996), 889–895.
  • [23] V. S. Murty, S. Jain, A. Ojha, Analyzing modeled configuration using finite element analysis for performance prediction of LSRM, Neural Comput. Appl., 34 (2022), 21175–21189.
  • [24] J. Cai, B. Li, A. D. Cheok, et al., Optimal design and control of a decoupled multi-frequency multi-phase wireless switched reluctance motor drive system, IEEE Trans. Power Electron., 39(8) (2024), 10152-10165.
  • [25] D. Uygun, Design and application of 5-phase U-type segmental rotor bipolar excitation 10/8 switching reluctance motor, PhD Thesis, Institute of Science and Technology, Gazi University, Ankara, 2012, 10–15.
  • [26] Ö. F. Bay, Ç. Elmas, Modelling of the inductance variation and control of the switched reluctance motor Based on fuzzy logic, Intell. Autom. Soft Comput., 10(3) (2004), 233–246.

PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor

Year 2025, Volume: 8 Issue: 1, 28 - 41, 28.03.2025
https://doi.org/10.33187/jmsm.1637233

Abstract

Switched Reluctance Motors (SRMs) are a type of motor that converts electrical energy into mechanical energy using the variable reluctance principle in industry, electric vehicles, and renewable energy. However, due to the nonlinear characteristic of the magnetic circuit depending on the rotor position, the dynamic performance of SRMs varies according to the operating conditions and they need a powerful drive circuit and an advanced control algorithm for maximum torque and stable speed control. In this regard, our solution involves the implementation of a PI control algorithm in a novel ST-SRM configuration that has been previously documented and is distinct from the conventional SRM design, which features a 5-phase 10/8 pole segmental rotor and bipolar excitation. has been developed to enhance the motor's overall operating performance and boost energy efficiency. The rotor of this five-phase, 10/8 pole configuration motor is made of silicon steel sheet packs and a lightweight aluminium block, in which these packs are placed to reduce the motor weight. Thus, the magnetic flux follows a short-circuited path between neighbouring stator poles, preventing stray fluxes and increasing the torque generated per unit weight. Short magnetic flux loops are used by simultaneous excitation of two neighboring phases, which reduces core losses, minimizes torque fluctuations, and allows higher torque production. However, the mathematical model of the motor becomes more complex as the cooperation of two phases results in mutual inductances between the phases. In this study, the mathematical model of the ST-SRM in the state space is derived, and the equation set required to control the system is obtained. The developed driver circuit is designed in a dual microcontroller architecture to manage the dual-phase supply of the motor. In this configuration, the primary microcontroller governs the five-phase power circuit, while the secondary microcontroller executes the PI algorithm in response to the speed signal from the optical rotor position sensors and autonomously modifies the source voltage. The instantaneous voltage adjustment of the drive system enables the ST-SRM speed to be maintained at the reference value, contingent on the fluctuating load conditions, thereby enhancing stability and energy efficiency. Experimental studies have demonstrated the efficacy of the PI controller in maintaining motor speed at a target value despite variations in load and in effectively dampening deviations during speed transitions. The measured phase current waveforms exhibit significant overlap with the simulation results, thereby substantiating the accuracy of the mathematical model and control method. Instantaneous monitoring of quantities such as current and speed through the developed user interface reveals the satisfactory dynamic performance of the system and the reliability of the control algorithm. In conclusion, an innovative PI-controlled driving and monitoring system for ST-SRM has been designed and successfully implemented. Thanks to the integrated drive system, the stable operation of the motor under speed and load is ensured, and the user interface makes real-time monitoring of critical parameters possible.

References

  • [1] T. J. E. Miller, Switched Reluctance Motors and Their Control, Oxford Science Publications, 2018.
  • [2] P. J. Lawrenson, J. M. Stephenson, P. T. Blenkinsop, et al., Variable-speed switched reluctance motors, IEE Proc. B Electr. Power Appl., 127 (4) (1980), 253–265. https://doi.org/10.1049/ip-b.1980.0034
  • [3] R. Krishnan, Switched Reluctance Motor Drives: Modelling, Simulation, Analysis, Design, and Applications, CRC Press, 2001.
  • [4] M. A. Patel, K. Asad, Z. Patel, et al., Design and optimisation of slotted stator tooth switched reluctance motor for torque enhancement for electric vehicle applications, Int. J. Ambient Energy, 43(1) (2021), 4283–4288.
  • [5] K. Diao, X. Sun, G. Bramerdorfer, et al., Design optimisation of switched reluctance machines for performance and reliability enhancements: A review, Renew. Sustain. Energy Rev., 168 (2022), Article 112785.
  • [6] X. Sun, X. Tang, X. Tian, et al., Sensorless control with Fault-Tolerant ability for switched reluctance motors, IEEE Trans. Energy Convers., 37(2) (2022), 1272–1281.
  • [7] M. Omar, E. Sayed, M. Abdalmagid, et al., Review of machine learning applications to the modelling and design optimisation of switched reluctance motors, IEEE Access, 10 (2022), 130444–130468.
  • [8] K. Vijayakumar, R. Karthikeyan, S. Paramasivam, et al., Switched reluctance motor modelling, design, simulation, and analysis: A comprehensive review, IEEE Trans. Magn., 44(12) (2008), 4605–4617.
  • [9] Z. Xu, T. Li, F. Zhang, et al., A review on segmented switched reluctance motors, Energies, 15(23) (2022), 9212.
  • [10] A. Peniak, J. Makarovic, P. Rafajdus, et al., Design and optimisation of switched reluctance motor for electrical vehicles, Electr. Eng., 99 (2017), 1393–1401.
  • [11] X. Gao, R. Na, C. Jia, et al., Multi-objective optimisation of switched reluctance motor drive in electric vehicles, Comput. Electr. Eng., 70 (2018), 914–930.
  • [12] M. Tursini, M. Villani, G. Fabri, et al., A switched-reluctance motor for aerospace application: Design, analysis and results, Electr. Power Syst. Res., 142 (2017), 74–83.
  • [13] R. Krishnan, An energy-efficiency-enhanced switched reluctance motor [From Mind to Market], IEEE Ind. Electron. Mag., 1(1) (2007), 4–6.
  • [14] S. K. Sahoo, S. K. Panda, J. X. Xu, Iterative learning-based high-performance current controller for switched reluctance motors, IEEE Trans. Energy Convers., 19(3) (2004), 491–498.
  • [15] Z. Touati, M. Pereira, R. E. Ara´ujo, et al., Integration of switched reluctance generator in a wind energy conversion system: An overview of the state of the art and challenges, Energies, 15(13) (2022), 4743.
  • [16] B. Bilgin, J.W. Jiang, A. Emadi, Switched Reluctance Motor Drives: Fundamentals to Applications, CRC Press, Boca Raton, FL, 2018.
  • [17] R. M. Pindoriya, B. S. Rajpurohit, R. Kumar, et al., Comparative analysis of permanent magnet motors and switched reluctance motors capabilities for electric and hybrid electric vehicles, Proceedings of the 2018 IEEMA Engineer Infinite Conference (eTechNxT) (2018), 1–5.
  • [18] L. Feng, X. Sun, G. Bramerdorfer, et al., A review on control techniques of switched reluctance motors for performance improvement, Renew. Sustain. Energy Rev., 199 (2024), Article 114454.
  • [19] E. Büyükbıçakcıakcı, A. F. Boz, Examination of state equations and dynamic simulation results of a new type 5-phase switched reluctance motor with a segmental rotor, Kirklareli Univ. J. Eng. Sci., 7(2) (2021), 232–256.
  • [20] D. Uygun, G. Bal, Linear model of a novel 5-phase segment type switched reluctance motor, Electron. Electr., 20(3) (2014), 3–7.
  • [21] P. J. Lawrenson, L. Agu, Development of reluctance motors for Industrial Applications, Proceedings of the Institution of Electrical Engineers, 111(3) (1964), 243–251.
  • [22] A. G. Jack, B. C. Mecrow, J. A. Haylock, A Comparative study of permanent magnet and switched reluctance motors for high-performance Fault-Tolerant applications, IEEE Trans. Ind. Appl., 32(4) (1996), 889–895.
  • [23] V. S. Murty, S. Jain, A. Ojha, Analyzing modeled configuration using finite element analysis for performance prediction of LSRM, Neural Comput. Appl., 34 (2022), 21175–21189.
  • [24] J. Cai, B. Li, A. D. Cheok, et al., Optimal design and control of a decoupled multi-frequency multi-phase wireless switched reluctance motor drive system, IEEE Trans. Power Electron., 39(8) (2024), 10152-10165.
  • [25] D. Uygun, Design and application of 5-phase U-type segmental rotor bipolar excitation 10/8 switching reluctance motor, PhD Thesis, Institute of Science and Technology, Gazi University, Ankara, 2012, 10–15.
  • [26] Ö. F. Bay, Ç. Elmas, Modelling of the inductance variation and control of the switched reluctance motor Based on fuzzy logic, Intell. Autom. Soft Comput., 10(3) (2004), 233–246.
There are 26 citations in total.

Details

Primary Language English
Subjects Applied Mathematics (Other)
Journal Section Articles
Authors

Erdal Büyükbıçakcı 0000-0001-7276-741X

Early Pub Date March 25, 2025
Publication Date March 28, 2025
Submission Date February 10, 2025
Acceptance Date March 22, 2025
Published in Issue Year 2025 Volume: 8 Issue: 1

Cite

APA Büyükbıçakcı, E. (2025). PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor. Journal of Mathematical Sciences and Modelling, 8(1), 28-41. https://doi.org/10.33187/jmsm.1637233
AMA Büyükbıçakcı E. PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor. Journal of Mathematical Sciences and Modelling. March 2025;8(1):28-41. doi:10.33187/jmsm.1637233
Chicago Büyükbıçakcı, Erdal. “PI Controller Design for a 5-Phase Switched Reluctance Motor With Bipolar Excitation Segmental Rotor”. Journal of Mathematical Sciences and Modelling 8, no. 1 (March 2025): 28-41. https://doi.org/10.33187/jmsm.1637233.
EndNote Büyükbıçakcı E (March 1, 2025) PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor. Journal of Mathematical Sciences and Modelling 8 1 28–41.
IEEE E. Büyükbıçakcı, “PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor”, Journal of Mathematical Sciences and Modelling, vol. 8, no. 1, pp. 28–41, 2025, doi: 10.33187/jmsm.1637233.
ISNAD Büyükbıçakcı, Erdal. “PI Controller Design for a 5-Phase Switched Reluctance Motor With Bipolar Excitation Segmental Rotor”. Journal of Mathematical Sciences and Modelling 8/1 (March 2025), 28-41. https://doi.org/10.33187/jmsm.1637233.
JAMA Büyükbıçakcı E. PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor. Journal of Mathematical Sciences and Modelling. 2025;8:28–41.
MLA Büyükbıçakcı, Erdal. “PI Controller Design for a 5-Phase Switched Reluctance Motor With Bipolar Excitation Segmental Rotor”. Journal of Mathematical Sciences and Modelling, vol. 8, no. 1, 2025, pp. 28-41, doi:10.33187/jmsm.1637233.
Vancouver Büyükbıçakcı E. PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor. Journal of Mathematical Sciences and Modelling. 2025;8(1):28-41.

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