A Two-Step Method for Estimating the Parameters of Induction Machine Models

被引：0

作者：

Laughman, Christopher ^{[1
]}

Leeb, Steven B. ^{[2
]}

Norford, Leslie K. ^{[3
]}

Shaw, Steven R. ^{[4
]}

Armstrong, Peter R. ^{[5
]}

机构：

[1] Mitsubishi Elect Res Labs, 201 Broadway, Cambridge, MA 02139 USA

[2] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA

[3] MIT, Dept Architecture, Cambridge, MA 02139 USA

[4] Montana State Univ, Dept Elect & Elect Engn, Bozeman, MT 59717 USA

[5] Masdar Inst Sci & Technol, Abu Dhabi, U Arab Emirates

来源：

2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6 | 2009年

基金：

美国国家科学基金会;

关键词：

Induction machines; parameter estimation; fault diagnosis; NONLINEAR LEAST-SQUARES; MOTOR PARAMETERS; IDENTIFICATION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper describes and demonstrates a mathematical algorithm that can monitor the physical parameters of the motor solely by observing the stator electrical currents. This method uses measurements of transient stator currents to identify the parameters of an electromechanical model of the induction motor. These parameters are obtained from a relatively poor initial guess, which is constrained only to be within an order of magnitude of the physical parameters, by using a two-step strategy based upon nonlinear least-squares regression techniques. This makes the approach in this paper useful for diagnostic monitoring and energy scorekeeping. Experimental results are presented which demonstrate the effectiveness of this method on identifying the parameters of a 1 HP induction motor connected to a squirrel cage fan in an air-handling unit.

引用

页码：671 / +

页数：2

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