QFT controller of switched reluctance motor
DOI:
https://doi.org/10.66950/8zqde678Keywords:
Switched reluctance motor, PI, Quantitative Feedback Theory (QFT), Speed control.Abstract
This study focuses on the implementation of Quantitative Feedback Theory (QFT) for the robust speed control of a Switched Reluctance Motor (SRM). QFT, introduced by Isaac Horowitz, represents a frequency-domain robust control design methodology that systematically addresses plant uncertainties and external disturbances within a predefined performance framework. Unlike traditional control strategies that are typically based on a nominal plant model, QFT explicitly considers an uncertainty set of plant models, enabling the controller to guarantee robustness and stability across all possible system variations.
The proposed QFT-based control design for the SRM effectively enhances the dynamic response, disturbance rejection capability, and robust stability margins. Comparative simulation and experimental results demonstrate that the QFT controller achieves superior speed regulation, faster transient response, and greater robustness against parameter variations and load disturbances, when compared with the conventional Proportional–Integral (PI) control strategy.
References
(1) A. Tahour, A.G. Aissaoui, Switched Reluctance Motor: Concept, Control and Applications, edition intechopen 2017, ISBN 978-953-51-3268-4, Print ISBN 978-953-51-3267-7, InTech Janeza Trdine 9, 51000 Rijeka, Croatia. https://doi.org/10.5772/66849 DOI: https://doi.org/10.5772/66849
(2) M. Garcia-Sanz and Constantine H. Houpis, Wind Energy Systems Control Engineering Design, CRC press, Taylor & Francis Group 2012. https://doi.org/10.1201/b11673 DOI: https://doi.org/10.1201/b11673
(3) R. Krishnan, Switched reluctance motor drives modeling, simulation, analysis, design and applications. London: CRC Press; 2001. https://doi.org/10.1201/9781420041644 DOI: https://doi.org/10.1201/9781420041644
(4) F. Soares and P.J. Costa Branco “Simulation of a 6/4 Switched Reluctance Motor Based on Matlab/Simulink Environment “, IEEE Transactions on aerospace and electronic system, Vol 37, issue 3, July 2001, pp. 989-1009. https://doi.org/10.1109/7.953252 DOI: https://doi.org/10.1109/7.953252
(5) Miller TJE. Switched reluctance motors and their control. Oxford: Oxford University Press; 1993. ISBN: 0198593872
(6) M. García-Sanz, Robust Control Engineering Practical QFT Solutions, Taylor & Francis Group 2017. https://doi.org/10.4324/9781315394985 DOI: https://doi.org/10.4324/9781315394985
(7) C. H. Houpis and S. J. Rasmussen, Quantitative feedback theory, Fundamentals and Applications. New York: Marcel Dekker, 1999. xxiv + 408 pages, ISBN 0-8247-7872-3
(8) I. M. Horowitz, Quantitative Feedback Design Theory (QFT). QFT Publications (1993).
(9) M V Chitra, Kapil Kumar Sharma, A Asok Kumar, Quantitative Feedback Theory Based Robust Control Design for a Flexible Launch Vehicle, 2015 International Conference on Control Communication & Computing India (ICCC), Trivandrum, India, 19-21 November 2015. pp. 72-77. https://doi.org/10.1109/ICCC.2015.7432872 DOI: https://doi.org/10.1109/ICCC.2015.7432872
(10) Gudimindla Hemachandra1, and Sharma K Manjunatha, Design and performance analysis of quantitative feedback theory based automated robust controller : An application to uncertain autonomous wind power system, AIMS Energy, Vol; 6, Issue 4, pp.:576-592. 2018, doi: https://doi.org/10.3934/energy.2018.4.576 DOI: https://doi.org/10.3934/energy.2018.4.576
(11) Ali Soltani Sharif ABADI, Pooyan Alinaghi HOSSEIN ABADI, Andrew ORDYS, Design a robust quantitative feedback theory controller for cyber-physical systems: ship course control problem, Archives of Control Sciences Volume 32(LXVIII), 2022 No. 3, pages 589–605. https://doi.org/10.24425/acs.2022.142850 DOI: https://doi.org/10.24425/acs.2022.142850
(12) J. Elso, J. X. Ostolaza, Automatic synthesis of feedforward elements in quantitative feedback theory, International Journal of Robust and Nonlinear Control, Vol. 31, Issue 12, Aug 2021, pp 5525–5540, https://doi.org/10.1002/rnc.5515 DOI: https://doi.org/10.1002/rnc.5515
(13) C. Borghesani, Y. Chait, and O. Yaniv, The QFT frequency domain control design toolbox for use with MATLAB, user's guide. Terasoft, Inc 2003.
(14) C. Olalla, A. E. Aroudi, and R. Leyva, “QFT control for dc-dc buck converters,” in IEEE International Symposium on Circuits and Systems (ISCAS’06), 21-24 May 2006, Kos, Greece, pp. 4 pp.-5642, https://doi.org/10.1109/ISCAS.2006.1693914 DOI: https://doi.org/10.1109/ISCAS.2006.1693914
(15) C. Yeong-Hwa and C. Li-Wei, “QFT based robust controller design of series resonant dc/dc converters,” 1997, IEEE International Electric Machines and Drives Conference Record, 18-21 May 1997, Milwaukee, WI, USA, pp. TC2/8.1–TC2/8.3. https://doi.org/10.1109/IEMDC.1997.604257 DOI: https://doi.org/10.1109/IEMDC.1997.604257
(16) Caro Lucas, M. Modir Shanehchi, Peyman Asadi and Peyvand Mellati Rad, A Robust Speed Controller for Switched Reluctance Motor with Nonlinear QFT Design Approach, Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129), Italy, 08-12 October 2000. https://doi.org/10.1109/IAS.2000.882092 DOI: https://doi.org/10.1109/IAS.2000.882092
Downloads
Published
Issue
Section
License
Copyright (c) 2025 ahmed TAHOUR, AbdelGhani AISSAOUI (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Authors retain copyright and grant the journal right of first publication.
