Technical gazette, Vol. 32 No. 3, 2025.
Original scientific paper
https://doi.org/10.17559/TV-20250120002282
Employing the Improved PSO for the Multi-Objective Optimization of Sinusoidal Pole Wide Modulation PM Motors
Xiaoqing Liu
; School of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou 466000, China
*
Mingxia Wang
; School of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou 466000, China; PLA Army Special Operations Academy Department of Mechanical and Electrical Engineering Guilin 541000, China
Liumin Luo
; School of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou 466000, China
Xiyuan Yue
; Xuchang Kaipu Testing Research Institute Co., LTD, Xuchang 461001, China
* Corresponding author.
Abstract
To address the issues of high levels of back electromotive force harmonics and significant torque ripple in conventional surface-mounted permanent magnet motors, which are caused by the non-sinusoidal pole-air-gap magnetic density waveform, a sine-modulated pole PM motor has been designed. To achieve both high average torque and low torque ripple simultaneously, a multi-objective optimization approach that integrates the response surface method with an improved pso (particle swarm optimization) algorithm is employed. After presenting the magnetic modulation principle of the motor, finite element simulations and central composite experiments are conducted to obtain response values and establish a quadratic response surface regression model. Subsequently, employing this model, with torque ripple and average torque as optimization objectives, the enhanced multi-objective pso algorithm is applied to optimize the main structural parameters. The experimental findings compellingly illustrate that in the optimized sinusoidal extremely wide modulation PM motor, the torque ripple and cogging torque undergo remarkable reductions of 67.06% and 63.61% respectively. Concurrently, the utilization rate of the permanent magnet experiences a notable uptick of 6.11%. These outcomes serve as robust validation for the effectiveness and economic viability of the proposed methodology.
Keywords
finite element analysis; PM motor; PSO; torque ripple
Hrčak ID:
330574
URI
Publication date:
1.5.2025.
Visits: 331 *