基于改进粒子群算法和RMxprt的永磁滚筒多目标优化设计
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1.上海海事大学物流工程学院;2.上海飞机制造有限公司航空制造技术研究所

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TM351

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国家重点研发计划(2022YFF0608700)


Multi-Objective Optimization Design of Permanent Magnet Roller Based on Improved Particle Swarm Optimization Algorithm and RMxprt
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College of Logistics Engineering, Shanghai Maritime University

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    摘要:

    针对基于专家经验对永磁滚筒优化设计时,寻优效率比较低的问题,构建了一种基于改进粒子群优化算法和RMxprt联合仿真的永磁滚筒多目标优化设计方法。首先,提出了一种改进粒子群优化算法,提高了寻优收敛速度;其次,在永磁滚筒结构参数与性能参数关系分析的基础上明确了面向改进粒子群优化算法的变量参数、约束参数和优化参数;最后,通过Matlab编写改进粒子群优化算法程序,利用改进粒子群优化算法程序实现RMxprt输入参数与输出参数的闭环迭代与比较寻优,提高了永磁滚筒优化设计的效率和优化效果。

    Abstract:

    A novel multi-objective optimization design method for permanent magnet roller based on improved particle swarm optimization algorithm and RMxprt co-simulation was developed to address the issue of low optimization efficiency when relying solely on expert experience. Firstly, an improved particle swarm optimization algorithm was proposed to enhance the convergence speed of the optimization process. Secondly, based on the analysis of the relationship between the structural and performance parameters of the permanent magnet roller, the variable parameters, constraint parameters, and optimization parameters for the improved particle swarm optimization algorithm were determined. Lastly, a MATLAB program for the improved particle swarm optimization algorithm was developed to achieve closed-loop iteration and comparative optimization of the input and output parameters in RMxprt, thereby improving the efficiency and effectiveness of the optimization design for the permanent magnet roller.

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冯立杰,付帅帅,张虎翼. 基于改进粒子群算法和RMxprt的永磁滚筒多目标优化设计[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-11-27
  • 最后修改日期:2024-06-12
  • 录用日期:2024-06-24
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