i-manager Publications

Adaptive PI and Optimized PI Controllers to Enhance Switched Reluctance Motor Performance

Mahmoud Abdallah Attia*, Mohamed Mokhtar **

*-** Department of Electric Power and Machines, Ain Shams University, Cairo, Egypt.

Periodicity:October - December'2020
DOI : https://doi.org/10.26634/jee.14.2.17813

Abstract

Switched Reluctance Motor (SRM) suffers from current ripples and speed oscillations due to variations in loading conditions. Most of researches focus on enhancing the performance of SRM through speed and current controllers. This paper proposes two relatively new strategies to enhance the performance of the SRM. First one is optimizing the gain of classical proportional integral (PI) controller using sine-cosine optimization (SCO). The other strategy is to use adaptive PI controller. The proposed techniques are evaluated under several loading conditions with the proposed strategies applied in the current control system. The results deduced the superiority of adaptive controller under all loading conditions presented.

Keywords

SCO, Adaptive PI, PI Controller, SRM.

How to Cite this Article?

Attia, M. A., and Mokhtar, M. (2020). Adaptive PI and Optimized PI Controllers to Enhance Switched Reluctance Motor Performance. i-manager's Journal on Electrical Engineering, 14(2), 1-8. https://doi.org/10.26634/jee.14.2.17813

References

[1]. Bian, H., Chen, H., & Wang, R. (2020, November). Modeling and simulation of three-phase 6/4 switched reluctance motor speed control system. In Journal of Physics: Conference Series (Vol. 1684, No. 1). IOP Publishing.

[2]. Hamouda, M., & Számel, L. (2020). Modeling and simulation of switched reluctance machines. In R. E., Araujo & J. Camacho (Eds.), Modelling and Control of Switched Reluctance Machines. Retrieved from https://doi.org/ 10.5772/intechopen.89851

[3]. Hussien, A. M., & Attia, M. A. (2017). Comparison between HS and TLBO to optimize PIA speed controller and current controller for switched reluctance motor. imanager's Journal on Circuits & Systems, 5(1), 1-10. https://doi.org/10.26634/jcir.5.1.13542

[4]. Johan, K. (2002). Control system design (Lecture Notes). University of California, Santa Barbara.

[5]. Kondelaji, M. A. J., Farahani, E. F., & Mirsalim, M. (2020). Performance analysis of a new switched reluctance motor with two sets of embedded permanent magnets. IEEE Transactions on Energy Conversion, 35(2), 818-827.

[6]. Miller, T. J. E. (2001). Electronic Control of Switched Reluctance Machines. NewNes Power Engineering Series, Elsevier.

[7]. Mokhtar, M., Marei, M. I., & El-Sattar, A. A. (2017). An adaptive droop control scheme for DC microgrids integrating sliding mode voltage and current controlled boost converters. IEEE Transactions on Smart Grid, 10(2), 1685-1693.

[8]. Mostafa Elsaied, M., Abdallah Attia, M., Abdelhamed Mostafa, M., & Fouad Mekhamer, S. (2018). Application of different optimization techniques to load frequency control with WECS in a multi-area system. Electric Power Components and Systems, 46(7), 739-756. https://doi.org /10.1080/15325008.2018.1509913

[9]. Sasmal, M., & Mula, D. (2015). Simulation of speed controlled switched reluctance motor drive system using MATLAB Simulink. International Journal of Engineering Research and General Science, 3(3).

[10]. Wang, H. (2014). ECE 900 simulation of switched reluctance motor and control based on MATLAB environment (Doctoral dissertation), University of Alberta.

[11]. Wang, X., Palka, R., & Wardach, M. (2020). Nonlinear digital simulation models of switched reluctance motor drive. Energies, 13(24), 6715-6732. https://doi.org/10.3 390/en13246715

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.