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Research Articles

Hybrid Optimization Approach for Improved Efficiency in Permanent Magnet Brushless DC Motor Design: Combining Cauchy Particle Swarm & Moth Flame Methods

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Pages 1685-1696 | Received 17 Feb 2023, Accepted 08 Apr 2023, Published online: 03 May 2023
 

Abstract

This article proposes a novel design strategy for a PMBLDC motor through hybrid optimization, combining Cauchy Particle Swarm Optimization and Moth Flame Optimization approaches to find the optimal set of design parameters that yield the highest efficiency. The motivation is to improve the efficiency of PMBLDC motors, which are widely used in electric cars and renewable energy systems that place a premium on minimal power usage. The proposed work implements the hybrid optimization technique performs conventional single optimization strategies in terms of efficiency improvement. This study contributes in identifying the optimal values for the various design parameters of PMBLDC motors using the hybrid CPSO-MFO approach, which converged to the optimal design parameters. The performance of the PMBLDC motor was evaluated using the optimal design parameters, with an overall power loss of 49.1 W, and an efficiency of 97.88%. The study’s results provide valuable insights for design engineers into the optimal geometrical parameters of PMBLDC motors to achieve higher efficiency and lower power loss. The proposed novel hybrid optimization approach, which is faster and more efficient than conventional single optimization approaches, making it a useful tool for designing high-performance PMBLDC motors.

Ethics Approval and Consent to Participate

No participation of humans takes place in this implementation process

Human and Animal Rights

No violation of Human and Animal Rights is involved.

Funding

No funding is involved in this work.

Conflict of Interest

Conflict of interest is not applicable in this work.

Authorship Contributions

There is no authorship contribution.

ACKNOWLEDGMENTS

There is no acknowledgment involved in this work.

Additional information

Notes on contributors

Praveenkumar Chandran

Praveenkumar Chandran is an Assistant Professor (Senior Grade) in the Department of Electrical and Electronics Engineering. He completed his B.E in the Department of Electrical and Electronics Engineering at Sri Ramakrishna Engineering College, Coimbatore. He completed his Master's degree in Power Electronics and Drives from the same institution. He is currently pursuing his Ph.D from Anna University, Chennai. He has more than 12 years of teaching experience. He is a Member of IEEE, IEEE-PES, NaMPET, IAENG, IAENG-ISEE. His research interests include electric power components and systems.

Kaliamoorthy Mylsamy

Kaliamoorthy Mylsamy is currently working as Professor and Head in the Department of Electrical and Electronics Engineering at Dr. Mahalingam College of Engineering and Technology, Pollachi. Received his Ph.D in 2015 from Anna University, Completed his M.Tech in Pondicherry Engineering College and B.E from University of Madras. Gold Medalist in M.Tech and Received Certificate of Recognition from ELECRAMA-IEEMA. His areas of interest include power electronics, electrical drives, control systems, renewable energy systems, power quality, control of inverters, electrical machines.

Prabha S. Umapathy

Prabha S. Umapathy received her Ph.D degree in 2010 from Faculty of Engineering and Technology, Multimedia University, Malaysia. She received her M.E degree in Electrical Machines from PSG College of Technology, Bharathiyar University, Coimbatore in the year 1997, and her B.E degree in Electrical & Electronics Engineering from Coimbatore Institute of Technology, Bharathiyar University, Coimbatore in the year 1993. She has also pursued her MBA in Education Management. She possesses 28 years of teaching experience and around two decades of research experience. She is also having 10 years of International experience in teaching and research. Currently she is the Head of the Institution at Dr. N.G.P. Institute of Technology, Coimbatore. Her research interests include electric power components and systems.

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