Control Techniques of the Modified Stator and Rotor Pole Shape in a 6/4 Switched Reluctance Motor: Effects on Torque Ripple Minimization

References

• T. J. E. Miller, Electronic Control of Switched Reluctance Machines, Elsevier Ltd., pp. 35–97, 2001, DOI: 10.1016/B978-0-7506-5073-1.X5000-7.
   Google Scholar
• H. Chen, J. Jiang, and C. Zhang, “Simulation of braking control for switched reluctance motor drive,” in IEEE, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409), Vol. 1, pp. 201–204., 2000.
   Google Scholar
• D. A. Torrey and J. H. Lang, “Modeling a non-linear variable reluctance motor drive,” IEE Proc. B Electr. Power Appl. UK, vol. 137, no. 5, pp. 314– 326, Sep. 1990. DOI: 10.1049/ip-b.1990.0038.
   Google Scholar
• A. Rezig, W. Boudendouna, A. Djerdir, and A. N’Diaye, “Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle,” Math. Comput. Simul., vol. 167, pp. 267–280, 2020. DOI: 10.1016/j.matcom.2019.05.016.
   Web of Science ®Google Scholar
• H. Chen, D. Zhang, Z. Cong, and Z. Zhang, “Fuzzy logic control for switched reluctance motor drive,” Proc. Int. Conf. Mach. Learning Cybernet., Vol. 1, pp. 145–149., 2002.
   Google Scholar
• E. Karakas and S. Vardarbasi, “Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network,” Sadhana, vol. 32, no. 5, pp. 587–596, 2007. DOI: 10.1007/s12046-007-0044-4.
   Web of Science ®Google Scholar
• A. S. Oshaba, E. S. Ali, and S. M. A. Elazim, “Speed control of SRM supplied by photovoltaic system via ant colony optimization algorithm,” Neural Comput. Appl., vol. 28, no. 2, pp. 365–374, Feb. 2017. DOI: 10.1007/s00521-015-2068-8.
   Web of Science ®Google Scholar
• A. Tahour, “Variable speed drive of wind turbine based on synchronous generator,” Smart Innov. Syst. Technol., vol. 12, pp. 3–16, 2012.
   Google Scholar
• S. Li, “Fuzzy logic control ASIC chip,” J. Comput. Sci. Technol., vol. 12, no. 3, pp. 263–270, May 1997.
   Google Scholar
• M. Divandari, B. Rezaie, and A. R. Noei, “Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode con,” Comput. Electr. Eng., vol. 80, pp. 106472, 2019. DOI: 10.1016/j.compeleceng.2019.106472.
   Web of Science ®Google Scholar
• T. Husain, A. Elrayyah, Y. Sozer, and I. Husain, “Unified control for switched reluctance motors for wide speed operation,” IEEE Trans. Ind. Electron., vol. 66, no. 5, pp. 3401–3411, May 2019. DOI: 10.1109/TIE.2018.2849993.
   Web of Science ®Google Scholar
• A. Manjula, et al., “Performance enhancement of SRM using smart bacterial foraging optimization algorithm based speed and current PID controllers,” Comput. Electr. Eng., vol. 95, pp. 107398, 2021. DOI: 10.1016/j.compeleceng.2021.107398.
   Web of Science ®Google Scholar
• S. Mehta, M. A. Kabir, P. Pramod, and I. Husain, “Segmented rotor mutually coupled switched reluctance machine for low torque ripple applications,” IEEE Trans. Ind. Appl., vol. 57, no. 4, pp. 3582–3594, July/Aug. 2021. DOI: 10.1109/TIA.2021.3073384.
   Web of Science ®Google Scholar
• L. S. Murugan and P. Maruthupandi, “Realization of fault tolerant capability in a multiphase SRM drive using wavelet transform,” Microprocess. Microsy., vol. 76, pp. 103104, 2020. DOI: 10.1016/j.micpro.2020.103104.
   Web of Science ®Google Scholar
• A. K. Rana and A. V. R. Teja, “A Mathematical torque ripple minimization technique based on a nonlinear modulating factor for switched reluctance motor drives,” IEEE Trans. Ind. Electron., vol. 69, no. 2, pp. 1356–1366, Feb. 2022. DOI: 10.1109/TIE.2021.3063871.
   Web of Science ®Google Scholar
• A. Xu, C. Shang, J. Chen, J. Zhu, and L. Han, “A new control method based on DTC and MPC to reduce torque ripple in SRM,” IEEE Access, vol. 7, pp. 68584–68593, 2019. DOI: 10.1109/ACCESS.2019.2917317.
   Google Scholar
• M. Rodrigues, et al., “Optimized techniques for driving and control of the switched reluctance motor to improve efficiency,” Control Eng. Pract., vol. 90, pp. 1–18, 2019.
   Web of Science ®Google Scholar
• M. V. Paula and T. A. S. Barros, “A sliding mode DITC cruise control for SRM With steepest descent minimum torque ripple point tracking,” IEEE Trans. Ind. Electron., vol. 69, no. 1, pp. 151–159, January 2022. DOI: 10.1109/TIE.2021.3050349.
   Web of Science ®Google Scholar
• K. Vijayakumar, et al., “Development of an iron powder metallurgy soft magnetic composite core switched reluctance motor,” Mater. Today Proceed., vol. 41, pp. 1195–1201, 2021. DOI: 10.1016/j.matpr.2020.10.346.
   Google Scholar
• J. Furqani, et al., “Experimental verification of acoustic noise and radial force sum variation in switched reluctance motor,” IEEE Trans. Ind. Appl., vol. 57, no. 3, pp. 2481–2493, May/June 2021.
   PubMed Web of Science ®Google Scholar
• H. Li, B. Bilgin, and A. Emadi, “An improved torque sharing function for torque ripple reduction in switched reluctance machines,” IEEE Trans. Power Electron., vol. 34, no. 2, pp. 1635–1644, Feb. 2019. DOI: 10.1109/TPEL.2018.2835773.
   Web of Science ®Google Scholar
• A. M. A. Oteafy, “Fast and comprehensive online parameter identification of switched reluctance machines,” IEEE Access, vol. 9, pp. 46985–46996, 2021. DOI: 10.1109/ACCESS.2021.3068245.
   Web of Science ®Google Scholar
• M. Kawa, K. Kiyota, J. Furqani, and A. Chiba, “Acoustic noise reduction of a high-efficiency switched reluctance motor for hybrid electric vehicles with novel current waveform,” IEEE Trans. Ind. Appl., vol. 55, no. 3, pp. 2519–2528, May/June 2019.
   Web of Science ®Google Scholar
• Y. Ozoglu, M. Garip, and E. Mese, “New pole tip shapes mitigating torque ripple in short pitched and fully pitched switched reluctance motors,” Electric Power Syst. Res., vol. 74, no. 1, pp. 95–103, Apr. 2005. DOI: 10.1016/j.epsr.2004.09.008.
   Web of Science ®Google Scholar
• H. Çalik, Y. Özoğlu, S. H. Undil, and Ü. K. Terzi, “A study on torque ripple improvement compared to a modified rotor and stator poles SRMs with classical SRMs using dynamic and FFT analysis,” Electr. Power Compon. Syst., vol. 51, no. 13, pp. 1328–1337, 2023. DOI: 10.1080/15325008.2023.2196675.
   Web of Science ®Google Scholar
• I. Husain, “Minimization of torque ripple in SRM drives,” IEEE Trans. Ind. Electron., vol. 49, no. 1, pp. 28–39, Feb. 2002.
   Web of Science ®Google Scholar
• F. Kentli and H. Calık, “Matlab-Simulink modeling of 6/4 SRM with static data produced using finite element method,” Acta Polytech. Hung., vol. 74, no. 1, pp. 95–103, Apr. 2005.
   Google Scholar
• F. Ben Salem, I. Bahri, H. Maamri, and N. Derbel, “A second-order sliding mode control of switched reluctance motor,” Electr. Power Compon. Syst., vol. 48, no. 6-7, pp. 640–651, 2020. DOI: 10.1080/15325008.2020.1797937.
   Web of Science ®Google Scholar
• S. Bolognani and M. Zigliotto, “Fuzzy logic control of a switched reluctance motor drive,” IEEE Trans. Ind. Appl., vol. 32, no. 5, pp. 1063–1068, Sept.-Oct. 1996. DOI: 10.1109/28.536867.
   Web of Science ®Google Scholar
• N. Inanc and V. Ozbulur, “Torque ripple minimization of a switched reluctance motor by using continuous sliding mode control technique,” Electric Power Syst. Res., vol. 66, no. 3, pp. 241–251, Sep. 2003. DOI: 10.1016/S0378-7796(03)00093-2.
   Web of Science ®Google Scholar
• H. Calık, “Control of switched reluctance motor,” Ph.D. thesis, Marmara University, 2004.
   Google Scholar
• M. C. Branco, P. J. Suemitsu, and W. Rodrigues, “Fuzzy logic torque ripple reduction by turn-off angle compensation for switched reluctance motors,” IEEE Trans. Ind. Electron., vol. 48, no. 3, pp. 711–715, 2001. DOI: 10.1109/41.925598.
   Web of Science ®Google Scholar
• A. D. Cheok and N. Ertugrul, “Use of fuzzy logic for modeling, estimation, and prediction in switched reluctance motor drives,” IEEE Trans. Ind. Electron., vol. 46, no. 6, pp. 1207–1224, Dec. 1999. DOI: 10.1109/41.808012.
   Web of Science ®Google Scholar
• S. Mir, M. S. Islam, T. Sebastian, and I. Husain, “Fault-tolerant switched reluctance motor drive using adaptive fuzzy logic controller,” IEEE Trans. Power Electron., vol. 19, no. 2, pp. 289–295, Mar. 2004. DOI: 10.1109/TPEL.2003.823244.
   Web of Science ®Google Scholar
• N. Ertugrul and A. Cheok, “Indirect angle estimation in switched reluctance motor drives using fuzzy logic based predictor/corrector,” Proc. IEEE Power Electron. Specialists Conf., vol. 1, pp. 845–851, 1998.
   Google Scholar
• Z. Wang, A. D. Cheok, and L. K. Wee, “Sensorless rotor position estimation algorithm for switched reluctance motors using fuzzy logic,” IEEE Specialists Conf. Power Electron., vol. 3, pp. 1701–1706, 2001.
   Google Scholar
• A. D. Cheok and N. Ertugrul, “High robustness and reliability of fuzzy logic based position estimation for sensorless switched reluctance motor drives,” IEEE Trans. Power Electron., vol. 15, no. 2, pp. 319–334, Mar. 2000. DOI: 10.1109/63.838105.
   Web of Science ®Google Scholar
• N. Ertugrul and A. D. Cheok, “Indirect angle estimation in switched reluctance motor drive using fuzzy logic based motor model,” IEEE Trans. Power Electron., vol. 15, no. 6, pp. 1029–1044, 2000. DOI: 10.1109/63.892817.
   Web of Science ®Google Scholar
• G. A. Abdel and A. Tahour, “Application of fuzzy logic in control of electrical machines,” in Fuzzy Logic - Controls Concepts Theories Applications, InTech, ISBN 978-953-51-0396-7, pp. 107–128, 28 March, 2012.
   Google Scholar
• G. Song, H. Sun, L. Huang, and J. Chu, “Microstep position control of switched reluctance motors,” Int. Conf. Power Electron. Drive Syst., Vol. 2, No. 17-20, pp. 944–947, Nov. 2003.
   Google Scholar