Soft measurement method of motor parameters based on recursive least squares

被引：0

作者：

Yao, Jun ^{[1
]}

Gu, Min-Ming ^{[1
]}

Pan, Hai-Peng ^{[1
]}

机构：

[1] Institute of Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China

来源：

Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology | 2012年 / 36卷 / SUPPL.2期

关键词：

Least squares approximations - MATLAB - Parameter estimation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The operation environment, working conditions and some other reasons make some motor parameters unable or difficult to be measured by conventional measurement instruments directly a soft measuring method based on recursive least squares method to identify motor parameters on-line is presented. The on-line identification is realized by the establishment of the steady-state mathematical model of the induction motor and the use of recursive least squares method. The system simulation model is built in the MATLAB/SIMULINK environment, and experimental results verify that this method is useful to identify the motor parameters accurately and rapidly.

引用

页码：39 / 42

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