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Optimal Rotor Design and Analysis of Energy-Efficient Brushless DC Motor-Driven Centrifugal Monoset Pump for Agriculture Applications

Author

Listed:
  • Richard Pravin Antony

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Pongiannan Rakkiya Goundar Komarasamy

    (Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Narayanamoorthi Rajamanickam

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur 603 203, India)

  • Roobaea Alroobaea

    (Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Yasser Aboelmagd

    (College of Engineering, University of Business and Technology, Jeddah 23435, Saudi Arabia)

Abstract

The agricultural sector emphasizes sustainable development and energy efficiency, particularly in optimizing water pumping systems for irrigation. Brushless DC (BLDC) motors are the preferred prime mover over induction motors due to their high efficiency in such applications. This article details the rotor design and analysis of an energy-efficient BLDC motor with specifications of 1 hp, 3000 rpm, and 48 V, specifically tailored for a centrifugal monoset pump for irrigation. The focus lies in achieving optimal energy efficiency through grey wolf optimization (GWO) algorithm in the rotor design to determine optimal dimensions of the Neodymium Iron Boron (NdFeB) magnet as well as its grade. The finite element method analysis software, MagNet, is used to model and analyze the BLDC motor. The motor parameters, such as speed, torque, flux functions, temperature, and efficiency, are analyzed. For performance comparison, the same model with different magnet models is also analyzed. Validation via 3D finite element analysis highlights improvements in magnet flux linkage, stator tooth flux density, and rotor inertia with increased magnet thickness. Simulation results affirm the consistent performance of the designed BLDC motor, preferably when efficiency is increased. This efficiency and the constant speed lead to an improvement in the overall conversion efficiency of 7% within its operating range, affirming that the motor pump system is energy-efficient.

Suggested Citation

  • Richard Pravin Antony & Pongiannan Rakkiya Goundar Komarasamy & Narayanamoorthi Rajamanickam & Roobaea Alroobaea & Yasser Aboelmagd, 2024. "Optimal Rotor Design and Analysis of Energy-Efficient Brushless DC Motor-Driven Centrifugal Monoset Pump for Agriculture Applications," Energies, MDPI, vol. 17(10), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2280-:d:1391098
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    1. Suresh Panchanathan & Pradeep Vishnuram & Narayanamoorthi Rajamanickam & Mohit Bajaj & Vojtech Blazek & Lukas Prokop & Stanislav Misak, 2023. "A Comprehensive Review of the Bidirectional Converter Topologies for the Vehicle-to-Grid System," Energies, MDPI, vol. 16(5), pages 1-33, March.
    2. Pradeep Vishnuram & Suresh P. & Narayanamoorthi R. & Vijayakumar K. & Benedetto Nastasi, 2023. "Wireless Chargers for Electric Vehicle: A Systematic Review on Converter Topologies, Environmental Assessment, and Review Policy," Energies, MDPI, vol. 16(4), pages 1-18, February.
    3. Fei, Mingda & Zhang, Zhenyu & Zhao, Wenbo & Zhang, Peng & Xing, Zhaolin, 2024. "Optimal power distribution control in modular power architecture using hydraulic free piston engines," Applied Energy, Elsevier, vol. 358(C).
    4. Aleksey Paramonov & Safarbek Oshurbekov & Vadim Kazakbaev & Vladimir Prakht & Vladimir Dmitrievskii, 2023. "Investigation of the Effect of the Voltage Drop and Cable Length on the Success of Starting the Line-Start Permanent Magnet Motor in the Drive of a Centrifugal Pump Unit," Mathematics, MDPI, vol. 11(3), pages 1-18, January.
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