i-manager Publications

Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors

0*, M. Vijaya Kumar**

* Assistant Professor, Department of EEE, Jawaharlal Nehru Technological University, Kakinada.

** Professor, Department of EEE, JNTUA College of Engineering, Jawaharlal Nehru Technological University, Anantapur.

Periodicity:April - June'2011
DOI : https://doi.org/10.26634/jee.4.4.1453

Abstract

Because of the nonlinear magnetic structure and time varying motor parameters, the traditional controllers like PI, PD and PID are insufficient in Switched Reluctance Motor (SRM) control. A strategy of hybrid Fuzzy-PI control for switched reluctance motors is presented in this paper. The strategy of fuzzy logic controller and PI controller is combined to realize the speed adjustment. The hybrid fuzzy-PI controller adopts fuzzy logic control when the speed error is big, and adopts PI control when the error is small. Simulation results indicate that this hybrid control strategy overcomes the steady state error of speed in classical fuzzy controller, and the paradox between the response time and overshoot of speed is managed. This system has a good anti-interference performance.

Keywords

Hybrid Fuzzy-PI Controller, Speed Controller, Direct Instantaneous Torque Control, Switched Reluctance Motor

How to Cite this Article?

K. Venkata Reddy and M. Vijaya Kumar (2011). Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors. i-manager’s Journal on Electrical Engineering, 4(4), 9-13. https://doi.org/10.26634/jee.4.4.1453

References

[1]. Miller T. J. E, (2001). “Electronic Control of Switched Reluctance Machines”, Newnes Power Engineering Series, Oxford press.

[2]. He Li, Wan Pellin, Xiao Huihui, (2004). “Application of PID-Fuzzy Controller in Switched Reluctance Motor Drives”, S&M Electrical, Shangai, 31(4), pp. 32-35.

[3]. Zhang Weiguo, Yang Xiangzhong, (2000). “Fuzzy logic control theor y application”, Northwestern Polytechnical University Press, Xi An.

[4]. Ahmed Tahour, Hamza Abid, Abdel Ghani Aissaoui, (2007). “Adaptive Neuro-Fuzzy Controller of Switched Reluctance Motor ”, Serbian Journal of Electrical Engineering, Vol.4, No.1, June, pp. 23-34.

[5]. Akcayol M. A., (2004). “Application of adaptive neuro-fuzzy controller for SRM”, Advances in Engineering Software 35, pp.129-137.

[6]. B. Fahimi, G. Suresh, J. Mahdavi and M. Ehsani, (1998). “A New Approach to Model Switched Reluctance Motor Drive Application to Dynamic Performance Prediction, Control and Design,” PESC 98 Record. 29th Annual IEEE, Vol. 2, 17-22 pp. 2097- 2102, May.

[7]. K. Venkat Reddy, M. Vijaya Kumar, (2009). “A Nonlinear Model for Switched Reluctance Motors”, Institution of Engineers (India) Journal – EL, Vol. 89, pp. 1-8, March.

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.