基于矢量控制方法的感应电机速度控制遗传算法的实现

E. Purwanto, Endra Wahjono, I. Ferdiansyah, D. S. Yanaratri, Lucky Pradigta Setiya Raharja, Rachma Prilian Eviningsih, Gamar Basuki
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引用次数: 9

摘要

遗传算法是一种用于优化技术的方法,本文研究了将遗传算法应用于异步电动机矢量控制模型的方程求解。该系统以dq轴上的定子电流和转子电流为变量,通过遗传进化过程确定,并以转矩遗传适应度的代价作为每一代的目标函数。在这种遗传方法上采用了两种对其染色体进行编码的方法,即二进制和浮动染色体,并进行了一些交叉、突变和选择,取得了较好的效果。这里将寻求各个遗传算子的组合以获得最佳结果。该方法的结果是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Genetic Algorithm for Induction Motor Speed Control Based on Vector Control Method
Genetic algorithms are one method used for the optimization technique, in this paper were developed the application of GA methods to solve equations the model of induction motor (IM) by dq model (Vector Control). On this system the stator currents and rotor currents in dq axis set as the variables are determined through a process of evolution (GA) and take the price of genetic fitness of torque as objective function for each generation. On this genetic method used two kinds of encoding its chromosome, which is in binary and floating with some of the crossover, mutation and selection to obtain good results. Here will be sought after combination of each genetic operator to get the best results. The result of this method are found best result for the all.
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