基于粒子群优化算法的Jiles-Atherton磁滞模型参数计算  

Parameter calculation of the Jiles-Atherton hysteresis model using particle swarm optimization algorithm

作　　者：郝晓亮[1] 叶美盈[1] 

机构地区：[1]浙江师范大学数理与信息工程学院,浙江金华321004

出　　处：《浙江师范大学学报（自然科学版）》2015年第2期133-141,共9页Journal of Zhejiang Normal University:Natural Sciences

基　　金：国家自然科学基金资助项目(51305407)

摘　　要：粒子群优化算法是一种模拟鸟群捕食行为的群体智能算法,该算法具有简洁、易于实现、没有太多调整参数及不需要梯度信息等特点,且在大多数情况下可快速收敛于最优解.为了描述材料的磁滞特性,提出了一种粒子群优化算法结合MATLAB/Simulink动态仿真集成环境的Jiles-Atherton磁滞回线模型参数计算方法,并分别以无噪及加噪的仿真数据对2组参数值不同的Jiles-Atherton磁滞回线模型进行了数值实验.结果表明,将粒子群优化算法及MATLAB/Simulink动态仿真集成环境应用于Jiles-Atherton磁滞模型的参数计算是有效的.Particles swarm optimization algorithm was a kind of swarm intelligence algorithm simulating birds feeding behavior. The algorithm had the advantages of concision, easy implement, few control parameters, did not need the gradient information, and fast convergence to optimal solution in most cases. In order to describe the hysteresis characteristics of the material, it was proposed a method of the particle swarm optimization algo- rithm combination with MATLAB/Simulink dynamic simulation integration environment to calculate the Jiles- Atherton hysteresis loop model parameters. By means of noise-free and noisy simulation data, the numerical experiments of Jiles-Atherton hysteresis loop model with the two groups of different parameter values were car- ried out. The results indicated that the particle swarm optimization algorithm combination with MATLAB/Sim- ulink dynamic simulation integration environment was an effective technique for the parameters calculation ofJiles-Atherton hysteresis model.

关 键 词：磁滞回线 粒子群优化算法 磁滞模型 参数计算 

分 类 号：TM936.3[电气工程—电力电子与电力传动]