摘要
为了准确识别异步电机断条故障,提出了一种基于定子电流建模的识别算法。根据定子电流模型中各频率成分的幅值是线性参数这一事实,将定子电流模型参数分为两组。一组是工频、转差率以及各频率成分的初相角,使用差分进化算法进行估计。另一组是各频率成分的幅值,通过线性最小二乘算法得到。计算结果表明,与直接使用差分进化算法估计全部参数相比,该算法能够更好地估计出定子电流模型参数。
In order to accurately identify broken bar faults of asynchronous motors,an identification algorithm based on stator current modeling is proposed.According to the fact that the amplitude of each frequency component in the stator current model is a linear parameter,the stator current model parameters are divided into two groups.One group consists of the power frequency,slip and the initial phase angle of each frequency component which is estimated using the differential evolution algorithm,and the other includes the amplitude of each frequency component which is obtained by the linear least squares algorithm.The computational results show that the proposed algorithm can better estimate the stator current model parameters than the direct estimation of all parameters using the differential evolution algorithm.
作者
彭程
郭春雨
PENG Cheng;GUO Chunyu(North China Institute of Science and Technology,Yanjiao,065201,China)
出处
《华北科技学院学报》
2020年第2期112-115,共4页
Journal of North China Institute of Science and Technology
基金
中央高校基本科研业务费资助项目(3142015013)。
关键词
断条
故障诊断
差分进化
线性最小二乘
broken rotor bar
fault diagnosis
differential evolution
linear least squares
