Cooperative optimization of temperature and thrust ripple in permanent magnet synchronous linear motors

• Autorzy: Yan Jianglong , Li Yanzhe , Yang Yimeng , Liu Guoqing , Liu Yuantao

Identyfikatory

DOI

10.24425/aee.2025.153911

• Języki publikacji: EN

Abstrakty

EN

Temperature rise and thrust ripple in Permanent Magnet Synchronous Linear Motors are critical factors that impact their operational performance and stability. This study addresses the coupled effects of temperature variation and thrust ripple in Permanent Magnet Synchronous Linear Motors by proposing a cooperative optimization method aimed at enhancing stability and efficiency. A trapezoidal Halbach alternating electrode structure based Permanent Magnet Synchronous Linear Motors analytical model was developed. Combining the Multi-Population Genetic Algorithm with the Kriging surrogate model, a cooperative optimization framework was established to improve the precision and efficiency of temperature and thrust ripple optimization through iterative sample point addition and multi-objective strategies. Experimental results demonstrate that the proposed method reduces thrust fluctuation to 8.3%, which is lower than traditional methods. The utilization rate of the permanent magnet is higher than other methods, reaching 5.8 N/cm ³. The temperature rise is significantly reduced, achieving a maximum energy-saving rate of 25%, and the optimization efficiency improves by 43.5%. In addition, the reliability of the method is verified by COMSOL Multiphysics 6.0 finite element simulation combined with ANSYS Maxwell electromagnetic simulation. This research offers a novel approach to Permanent Magnet Synchronous Linear Motors optimization, providing technical insights for designing high-performance, energy-efficient motors.

Słowa kluczowe

EN

kriging; multi-population genetic algorithm; permanent magnet synchronous linear motor; thrust ripple; motor temperature

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2025
• Tom: Vol. 74, nr 2
• Strony: 503--519
• Opis fizyczny: Bibliogr. 32 poz., rys., tab., wykr., wz.

Twórcy

autor

Yan Jianglong

• School of Automation and Electrical Engineer, Lanzhou Jiaotong University, NO. 88, Anning West Road, Gansu Province, China

• https://orcid.org/0009-0006-1473-2212

autor

Li Yanzhe

• School of Automation and Electrical Engineer, Lanzhou Jiaotong University, NO. 88, Anning West Road, Gansu Province, China

autor

Yang Yimeng

• Beijing Hollysys CO, LTD, Beijing Province, China

autor

Liu Guoqing

• School of Automation and Electrical Engineer, Lanzhou Jiaotong University, NO. 88, Anning West Road, Gansu Province, China

autor

Liu Yuantao

• School of Automation and Electrical Engineer, Lanzhou Jiaotong University, NO. 88, Anning West Road, Gansu Province, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).