DocumentCode :
1937002
Title :
DC biased stimulation method for induction motor parameters identification at standstill without inverter nonlinearity compensation
Author :
Guangtong Shen ; Kai Wang ; Wenxi Yao ; Kevin Lee ; Zhengyu Lu
Author_Institution :
Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2013
fDate :
15-19 Sept. 2013
Firstpage :
5123
Lastpage :
5130
Abstract :
A general stimulation method is proposed to identify induction motor (IM) parameters based on inverter at standstill without the need of inverter nonlinearity compensation. Inverter non-linear characteristics are one of the major sources of parameters identification inaccuracies because the voltage error caused by inverter nonlinearity is difficult to compensate for accurately. To overcome the influence of inverter nonlinearity, a dc current bias is added to single phase ac stimulation, which is a common stimulation style of many identification techniques. To prove the effectiveness and universality of the method, it is applied to two kinds of practical offline parameter identification techniques in literatures. One is the recursive least-squares (RLS) technique and the other is impedance equations set technique. Identification results in both simulations and experiments are given to validate the method.
Keywords :
induction motors; invertors; least squares approximations; parameter estimation; DC biased stimulation method; impedance equations set technique; induction motor parameters identification; inverter nonlinearity; recursive least-squares technique; single phase ac stimulation; Induction motors; Insulated gate bipolar transistors; Inverters; Mathematical model; Rotors; Stators; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
Conference_Location :
Denver, CO
Type :
conf
DOI :
10.1109/ECCE.2013.6647393
Filename :
6647393
Link To Document :
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