基于遗传算法的感应电动机稳态模型参数辨识

介绍了感应电动机传统的参数测试与识别方法,提出了基于遗传算法的感应电动机稳态模型参数辨识方法,利用实际所测的电动机电流和转速数据,结合感应电动机稳态模型电流特性方程,通过遗传算法进行曲线拟合得到电机稳态模型电流特性曲线及电机稳态模型各参数值。试验证明该设计参数辨识方法与传统测试方法相比,准确性和精度都有较大的提高,进一步验证了该设计方法的可行性和有效性。

Research on Parameter Identification System of Motor Static Model Based on Genetic Algorithm

The thesis presents the traditional parameter test method and designs a parameter identification system of induction motor static model based on genetic algorithm.The system identified the parameters of equivalent electrical circuit by parameter curve fitting in terms of current character characteristic curve and speed.And then by comparing the results from classical parameter test methods it is concluded that the proposed method improves the precision of parameter determination remarkably and therefore it ...