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.
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页码：39 / 42
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