Multi-Objective Optimization Design for Electromagnetic Devices With Permanent Magnet Based on Approximation Model and Distributed Cooperative Particle Swarm Optimization Algorithm

作者：Ye Xuerong; Chen Hao; Liang Huimin^*; Chen Xinjun; You Jiaxin

来源：IEEE Transactions on Magnetics, 2018, 54(3): 8000604.

DOI：10.1109/TMAG.2017.2758818

• Approximation model
• design optimization
• Kriging
• particle swarm optimization (PSO)
• response surface

Electromagnetic devices containing permanent magnet (PM) are common and typical electromagnetic devices that have advantages of low-power consumption, small size, high sensitivity, and its optimization problem has aroused widespread concern. Calculation accuracy of electromagnetic properties and efficiency of optimization processes are two important factors that affect the optimization effect of electromagnetic devices. A fast calculation method was proposed in this paper that aimed at electromagnetic devices with PM characteristics of strong non-linearity and low solving precision. The response surface method was used to derive the basis function, and the error between actual measured values and calculated values was modified by the Kriging method. On the basis of the calculation model, the distributed collaborative strategy was adopted to fulfill the parallel execution of the fast computation. Simultaneously, the updating strategy of particles was improved, and the robustness of the multi-objective particle swarm optimization algorithm in solving the optimization problem of electromagnetic devices with PM was enhanced. Effectiveness of the method proposed in this paper was verified by the case study of a specific type of electromagnetic relay with PM.

• 出版日期2018-3
• 单位哈尔滨工业大学