收藏切换
Design of Multi-Objective Particle Swarm Algorithm for Line-Start Permanent Magnet Synchronous Motor Considering Saturation Condition
收藏切换
PDF
Mengmeng Ai, Xingyu Song, Wenhui Liu, Tao Shen
Transactions of China Electrotechnical Society | 2025, 40(12) : 3857 - 3867
Less
收藏切换
Transactions of China Electrotechnical Society | 2025, 40(12): 3857-3867
Design of Multi-Objective Particle Swarm Algorithm for Line-Start Permanent Magnet Synchronous Motor Considering Saturation Condition
Full
Mengmeng Ai, Xingyu Song, Wenhui Liu, Tao Shen
Affiliations
  • National and Local Joint Engineering Research Center for Electrical and Heat Transfer Technology of Large Electric Motors Harbin University of Science and Technology Harbin 150080 China
Published: 2025-06-25 doi: 10.19595/j.cnki.1000-6753.tces.240887
Outline
收藏切换

Line-starting permanent magnet synchronous motors (LSPMSM) are different from other permanent magnet motors due to their double-sided slotted characteristics of the stator and rotor, making it difficult to analyze the cogging torque. The overall optimization of motor cogging torque and torque ripple rate is also challenging. This paper optimizes the rotor design of the LSPMSM based on multi-objective particle swarm optimization algorithm, considering the saturation performance of the motor.

Firstly, this paper establishes the relationship between harmonic magnetomotive force and cogging torque to predict the cogging torque of the LSPMSM. The cogging torque is analyzed as a dynamic function relationship of various motor parameters, providing corresponding optimization parameters for the subsequent optimization of the prototype. At the same time, under the premise that the maximum magnetic energy product of the permanent magnet remains unchanged, the relationship between the saturation degree of the motor and the parameters of the permanent magnet is determined, and the selection range of the motor's permanent magnet parameters is determined based on this relationship. Define three working states of the motor: unsaturated, peak saturation, and after saturation, to make the analysis and optimization results of the motor more accurate.

Secondly, combined with response surface methodology (RSM) and multi-objective particle swarm optimization algorithm (MOPSO), this paper proposes a comprehensive optimization strategy to optimize key objectives such as motor cogging torque, torque ripple rate, and efficiency. The optimal design solutions in different regions can be obtained by using the response surface algorithm to classify numerical groups and shorten the computation time of the particle swarm optimization algorithm. The optimal solutions under six different conditions are determined after considering whether the stator is skewed and the three working states of the motor.

Finally, simulation analysis verifies the relationship between cogging torque and harmonics under different saturation states, the trend of no-load back electromotive force, and the main harmonic order changing with the number of slots per pole of the rotor. An experimental platform is built to verify the accuracy of theoretical and simulation analysis. This paper provides optimization solutions for the design of motors of the same type.

Line starting permanent magnet synchronous motors (LSPMSM)  /  cogging torque  /  harmonic wave  /  degree of saturation  /  multi-target particle swarm algorithm
Mengmeng Ai, Xingyu Song, Wenhui Liu, Tao Shen. Design of Multi-Objective Particle Swarm Algorithm for Line-Start Permanent Magnet Synchronous Motor Considering Saturation Condition[J]. Transactions of China Electrotechnical Society, 2025 , 40 (12) : 3857 -3867 . DOI: 10.19595/j.cnki.1000-6753.tces.240887
Year 2025 volume 40 Issue 12
PDF
373
166
Cite this Article
BibTeX
Article Info
doi: 10.19595/j.cnki.1000-6753.tces.240887
  • Receive Date:2024-05-27
  • Online Date:2025-10-29
  • Published:2025-06-25
Article Data
Affiliations
History
  • Received:2024-05-27
  • Revised:2024-07-31
Funding
Affiliations
    National and Local Joint Engineering Research Center for Electrical and Heat Transfer Technology of Large Electric Motors Harbin University of Science and Technology Harbin 150080 China
References
Share
https://castjournals.cast.org.cn/joweb/dgjsxb/EN/10.19595/j.cnki.1000-6753.tces.240887
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT