摘要
针对电能表测量三相异步电动机电参数成本高、安装复杂的问题,本文研究了一种基于回归算法的三相异步电动机电参数辨识模型。利用实际测量的三相异步电动机相关电参数数据,分析一元回归模型和二元回归模型分别用于电动机电参数辨识的特点,确定了以电动机线电流为自变量,有功功率为因变量的一元回归建模方式,在此基础上,分别采用一元线性回归模型和一元四次非线性回归模型,对三相异步电动机电参数进行辨识。研究结果表明,两种模型都能较准确的辨识电动机电参数,但一元四次非线性回归模型在点辨识精度和点辨识最大误差率方面具有更好的辨识性能,现场试验验证了其可行性和有效性。该研究为企业电动机电参数测量提供了新方法,具有较高的工程应用价值。
In view of the shortcomings of the traditional filed energy meter,such as high cost and complex installation and maintenance,this paper studies a model of the three-phase motor electrical parameters based on regression algorithm.The actual line current and active power of the motor are used as the modeling data.The characteristics of the application of the unary regression model and binary regression model in the identification of the electric parameters are analyzed in detail.A linear regression model and a four order nonlinear regression model are established to identify the measured electrical parameters.Based on that,the unary regression modeling method with current as the independent variable and active power as the dependent variable is determined.The results show that both models can accurately identify the motor’s electrical parameters,but the unary four order nonlinear regression model has better identification performance in the accuracy of point identification and the maximum error rate of point identification.The feasibility and effectiveness of the method are verified by field test.This study provides a new method for the measurement of electric parameters of electric motors in enterprises and has a high engineering application value.
作者
林凯
季涛
张雪原
LIN Kai;JI Tao;ZHANG Xueyuan(School of Automation,Qingdao University,Qingdao 266071,China;Information and Control Engineering,Weifang University,Weifang 261061,China)
出处
《青岛大学学报（工程技术版）》
CAS
2020年第2期62-68,共7页
Journal of Qingdao University(Engineering & Technology Edition)
基金
潍坊市科技发展计划项目(2017GX009)。
关键词
三相异步电动机
电参数辨识
一元非线性回归
three phase asynchronous motor
electrical parameter identification
unary nonlinear regression
