CAJ | 학술논문

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。
입자군우화산법시일충모의조군포식행위적군체지능산법，해산법구유간길、역우실현、몰유태다조정삼수급불수요제도신식등특점，차재대다수정황하가쾌속수렴우최우해。위료묘술재료적자체특성，제출료일충입자군우화산법결합MATLAB/Simulink동태방진집성배경적Jiles-Atherton자체회선모형삼수계산방법，병분별이무조급가조적방진수거대2조삼수치불동적Jiles-Atherton자체회선모형진행료수치실험。결과표명，장입자군우화산법급MATLAB/Simulink동태방진집성배경응용우Jiles-Atherton자체모형적삼수계산시유효적。
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 of Jiles-Atherton hysteresis model.