基于混合粒子群算法的圆柱型电磁铁优化设计

为了解决当电磁铁外型相同如何使电磁力最大的问题，将现有电磁铁设计思路应用到圆柱型电磁铁设计中，并采用改进的混合粒子群方法优化电磁铁内部结构参数。运用等效磁路法推导出电磁铁数学模型，并通过Maxwell有限元仿真对比验证准确性，然后采用单目标优化方法，得到影响电磁力的参数，最后采用改进的粒子群算法进行多目标优化，得到优化后的参数值。得到的几组优化数据表明：多目标优化方法得到的有效工作区域电磁力更大，仿真结果表明优化后的电磁力综合提高20%,证明优化方法有效。

Optimization Design of Cylindrical Electromagnet Based on Hybrid Particle Swarm Optimization Algorithm

In order to solve the problem of how to maximize the electromagnetic force when the appearance of the electromagnet is the same,the existing design ideas of the electromagnet were applied to the design of cylindrical electromagnets,and an improved hybrid particle swarm optimization (PSO) method was used to optimize the internal structural parameters of the electromagnet.Equivalent magnetic circuit method was used to deduce the mathematical model of the electromagnet,and Maxwell finite element simulation was used to verify its accuracy.Then,a single-objective optimization method was used to obtain the parameters affecting the electromagnetic force.Finally,improved particle swarm optimization algorithm was used to carry out multi-objective optimization and the optimized parameter values were obtained.Several groups of optimization data show that the electromagnetic force in the effective working area obtained by the multi-objective optimization method is larger.The simulation results show that the electromagnetic force after optimization is improved by 20%,which proves that the optimization method is effective.