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Articles

An optimal angle control strategy for switched reluctance motor drive in EV applications

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Pages 271-282 | Received 13 Jan 2022, Accepted 17 Nov 2022, Published online: 02 Dec 2022
 

Abstract

In this study, a hybrid method of the Harris-Hawk optimisation method is used to simultaneously manage the speed of a switched reluctance motor and minimise the torque ripple. A proportional integral (PI) speed controller is used in the outer loop of the three-phase, six-phase switching reluctance motor, and a PI current controller is used in the inner loop. Turn-on and turn-off angles are also controlled. In order to decrease current parameter error measures, reduce torque ripples, and increase efficiency, the task of finding the turn-on and turn-off angles is treated as an optimisation problem. Using the suggested optimisation technique, a model with adjustable turn-on and turn-off angles under different load torques is produced. When contrasted to current optimisation methodologies, the suggested model is demonstrated to be efficient for torque ripple suppression and speed augmentation simultaneously.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Deepak A. Shahakar

Deepak A. Shahakar (Ph.D. Scholar) obtained his Master’s degree in M. Tech. (EPS) from Amravati University, India. He is working with P. R. Pote (Patil) College of Engineering & Management, Amravati as Assistant Professor in Electrical Engineering Department. His major areas of interest are electrical drives and power system. He has published more than 30 papers at national/international level. He is member of IEEE, ISTE, and IAENG.

Sanjay B. Warkad

Sanjay B. Warkad obtained his Master’s degree in M.E. (EPS) as well as M.B.A. from Amravati and Nagpur University, India. Also obtained his Ph.D. from Visvesvaraya National Institute of Technology (VNIT) Nagpur in Electrical Engineering in 2012. He is working with P. R. Pote (Patil) College of Engineering & Management, Amravati as Professor in Electrical Engineering Department. His major areas of interest are optimal power pricing under electricity deregulation and artificial neural network applications in power system. He has guided 14 M.E. research projects, awarded 2 PhDs and at present pursuing 2 PhDs under him. He has published more than 70 papers at national/international level. He was also awarded Ministry of Energy, Department of Power, Government of India Prize for his research contributions in power system. He is member of IEEE, Smart grid community, IEEE, IACSIT, ISTE, IAENG, and ISDS Japan. He is also an editor and reviewer of several international journals and conferences.

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