Paper
19 October 2023 Optimization of dovetail magnetic isolation device for permanent magnet torque motor based on finite element method
Huoda Hu, Ziqing Deng, Wendong Zhang, Liang Pang, Chaohui Zhao
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127094D (2023) https://doi.org/10.1117/12.2684569
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
To further improve the torque performance of permanent magnet torque motors and enhance the magnetic stability of surface-mounted permanent magnets, a new dovetail magnetic isolation device (DMID) is discussed. First, the initial model of the motor is constructed and the structure of the DMID is parametrically designed. Second, a mathematical model of the average torque and torque ripple considering the DMID is developed based on the equivalent magnetic circuit model of the motor and the principle of electromagnetic torque generation. Then, with the help of the ANSYS Maxwell finite element simulation tool, the average torque is used as the optimization target, and the variation pattern of the slot width, inner circle radius, and position of the DMID are simulated and discussed. Finally, the average torque and torque ripple of the optimized motor are compared with those of the initial motor, and the results show that the average torque is increased by 37.2 Nꞏm and the torque ripple is weakened by 0.04% when the optimal parameters of the DMID are selected.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huoda Hu, Ziqing Deng, Wendong Zhang, Liang Pang, and Chaohui Zhao "Optimization of dovetail magnetic isolation device for permanent magnet torque motor based on finite element method", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127094D (19 October 2023); https://doi.org/10.1117/12.2684569
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KEYWORDS
Magnetism

Design and modelling

Finite element methods

Mathematical modeling

Electromagnetism

Manufacturing

Chemical elements

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