Volume 14, Issue 4 (Journal of Control, V.14, N.4 Winter 2021)                   JoC 2021, 14(4): 143-154 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shekari M J, Farrokhi M, Arad Khaburi D. Speed Control and Torque Ripple Reduction of Switched Reluctance Motors based on Cascade Loops and Optimal Sliding-mode Controller. JoC 2021; 14 (4) :143-154
URL: http://joc.kntu.ac.ir/article-1-682-en.html
1- Iran University Science & Technology
Abstract:   (4891 Views)
The ever-increasing expansion of automation has led to increasing the use of electric motors that makes the main horse power of many instruments. The Switched Reluctance Motor (SRM), as a kind of synchronous motors, has many advantages and can be used instead of other motors to eliminate their problems. However, speed control of this motor is very difficult due to nonlinearities, time variant, and uncertainties. In this article, the speed control of SRM is considered by using an optimal sliding-mode controller. Using the cascade structure, the biggest defect in the SRM (i.e., the torque ripple) is reduced. By converting the first-order sliding-mode control problem to an optimization problem, and solving it in real time using projection recurrent neural network, the proposed controller produces an optimal control signal that does not have chattering, but satisfies the sliding condition.Evaluation of The proposed controller with other controller is carried out by simulation and its effectiveness is shown.
Full-Text [PDF 946 kb]   (1837 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2019/06/14 | Accepted: 2020/04/18 | ePublished ahead of print: 2020/07/15 | Published: 2021/01/29

1. [1] R. Krishnan, Switched Reluctance Motor Drives: Modeling, Simulation, Analysis, Design, and Applications, CRC press, Boca Raton, 2001.
2. [2] P. Trung Hieu, D.-H. Lee, and J.-W. Ahn, "Design and control of a high speed 2-phase 4/2 switched reluctance motor for blender application," Journal of Electrical Engineering & Technology, vol. 14, no. 3, pp. 1193-1199, 2019. [DOI:10.1007/s42835-019-00123-y]
3. [3] B. M. Dehkordi, A. Parsapoor, M. Moallem, and C. Lucas, "Sensorless speed control of switched reluctance motor using brain emotional learning based intelligent controller," Energy Conversion and Management, vol. 52, no. 1, pp. 85-96, 2011. [DOI:10.1016/j.enconman.2010.06.046]
4. [4] M. Qutubuddin and N. Yadaiah, "Modeling and implementation of brain emotional controller for Permanent Magnet Synchronous motor drive," Engineering Applications of Artificial Intelligence, vol. 60, pp. 193-203, 2017. [DOI:10.1016/j.engappai.2017.02.007]
5. [5] N. Saha, A. Panda, and S. Panda, "Speed control with torque ripple reduction of switched reluctance motor by many optimizing liaison technique," Journal of Electrical Systems and Information Technology, vol. 5, no. 3, pp. 829-842, 2018. [DOI:10.1016/j.jesit.2016.12.013]
6. [6] N. Saha and S. Panda, "Speed control with torque ripple reduction of switched reluctance motor by Hybrid Many Optimizing Liaison Gravitational Search technique," Engineering Science and Technology, an International Journal, vol. 20, no. 3, pp. 909-921, 2017. [DOI:10.1016/j.jestch.2016.11.018]
7. [7] S. Paramasivam and R. Arumugam, "Hybrid fuzzy controller for speed control of switched reluctance motor drives," Energy Conversion and Management, vol. 46, no. 9, pp. 1365-1378, 2005. [DOI:10.1016/j.enconman.2004.08.007]
8. [8] A. V. Sant and K. Rajagopal, "PM synchronous motor speed control using hybrid fuzzy-PI with novel switching functions," IEEE Transactions on Magnetics, vol. 45, no. 5, pp. 4672-4675, 2009. [DOI:10.1109/TMAG.2009.2022191]
9. [9] K. Premkumar and B. Manikandan, "Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor," Neurocomputing, vol. 157, pp. 76-90, 2015. [DOI:10.1016/j.neucom.2015.01.032]
10. [10] Z. Omac, "Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds," Turkish Journal of Electrical Engineering & Computer Sciences, vol. 27, no. 1, pp. 316-329, 2019. [DOI:10.3906/elk-1712-186]
11. [11] T. Husain, A. Elrayyah, Y. Sozer, and I. Husain, "Unified control for switched reluctance motors for wide speed operation," IEEE Transactions on Industrial Electronics, vol. 66, no. 5, pp. 3401-3411, 2019. [DOI:10.1109/TIE.2018.2849993]
12. [12] A. Krasovsky, E. Vostorgina, and S. Kuznetsov, "Simulation of the linearized closed-loop torque control for switched reluctance motor," 26th International Workshop on Electric Drives: Improvement in Efficiency of Electric Drives (IWED), Moscow, Russia, 2019. [DOI:10.1109/IWED.2019.8664248]
13. [13] N. Yan, X. Cao, and Z. Deng, "Direct Torque control for switched reluctance motor to obtain high torque-ampere ratio," IEEE Transactions on Industrial Electronics, vol. 66, no. 7, pp. 5144-5152, 2019. [DOI:10.1109/TIE.2018.2870355]
14. [14] R. Moeini, M. Rafiee, and E. Afjei, "Low cost torque ripple reduction in SRM utilizing resonance phenomenon in order to optimize the current and torque profile," EPE Journal, vol. 25, no. 3, pp. 37-47, 2015. [DOI:10.1080/09398368.2015.11876828]
15. [15] J-J. E. Slotine, and W. Li, Applied Nonlinear Control, Prentice Hall, New Jercy, 1991.
16. [16] M. P. Aghababa, and M. E. Akbari, "A chattering-free robust adaptive sliding mode controller for synchronization of two different chaotic systems with unknown uncertainties and external disturbances," Applied Mathematics and Computation, Vol. 218, No. 9, pp. 5757-5768, 2012. [DOI:10.1016/j.amc.2011.11.080]
17. [17] M. Roopaei, and M. Z. Jahromi, "Chattering-free fuzzy sliding mode control in MIMO uncertain systems," Nonlinear Analysis, vol. 71, no. 10, pp. 4430-4437, 2009. [DOI:10.1016/j.na.2009.02.132]
18. [18] H. Toshani and M. Farrokhi, "Optimal sliding‐mode control of linear systems with uncertainties and input constraints using projection neural network," Optimal Control Applications and Methods, vol. 39, no. 2, pp. 963-980, 2018. [DOI:10.1002/oca.2385]
19. [19] S. M. Lukic and A. Emadi, "State-switching control technique for switched reluctance motor drives: Theory and implementation," IEEE Transactions on Industrial Electronics, vol. 57, no. 9 , pp. 2932-2938, 2010. [DOI:10.1109/TIE.2009.2038942]
20. [20] M. Divandari, B. Rezaie and A. R. Noei, "Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode control," Computers & Electrical Engineering, no. 80, pp. 106472, 2019. [DOI:10.1016/j.compeleceng.2019.106472]
21. [21] J. Gao, H. Sun, Y. Dong and L. He, " Gao, J., Sun, H., Dong, Y., & He, L. (2011, July). RBF Neural Network SMC design and torque ripple optimization research for switched reluctance motor," 30th Chinese Control Conference, Yantai, China, 2011.
22. [22] R. Abdel-Fadil and L. Szame, "nstantaneous Torque Control of the Switched Reluctance Motor for Electric Vehicles Applications Using Fuzzy Logic Control", Acta Technica Jaurinensis, vol. 12, no. 2, pp. 101-116, 2019. [DOI:10.14513/actatechjaur.v12.n2.496]
23. [23] A. Azadru, S. Masoudi, R. Ghanizadeh and P. Alemi, "New adaptive fuzzy sliding mode scheme for speed control of linear switched reluctance motor", IET Electric Power Applications, vol. 13, no. 8, pp. 1141-1149, 2019. [DOI:10.1049/iet-epa.2018.5764]
24. [24] S. Liu, and J. Wang, "A simplified dual neural network for quadratic programming with its KWTA application," IEEE Transactions on Neural Networks, vol. 17, no, 6, pp. 1500-1510, 2006. [DOI:10.1109/TNN.2006.881046]
25. [25] S. Alireza, R. Mehran, M. Rana, and A. Ebrahim, "Maximum current tracking in switched reluctance motor converters," International Research Journal of Applied and Basic Sciences, vol. 5, no. 11, 2013.

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control

Designed & Developed by : Yektaweb