DocumentCode :
674376
Title :
On-line parameter identification of induction motor based On RLS algorithm
Author :
Zhang Hu ; Gong Shu-juan ; Dong Zi-zhao
Author_Institution :
Power Electron. & Motor Drivers Eng.Center, North China Univ. of Technol., Beijing, China
fYear :
2013
fDate :
26-29 Oct. 2013
Firstpage :
2132
Lastpage :
2137
Abstract :
This article gives the detailed elaboration of the application of on-line parameter identification of induction motor based on RLS algorithm. Using the application recursion method of least square carries on the parameter identification can simplify the two-dimensional model, avoid the two-dimensional matrix inversion operation question, and reduce the computation load. Solve the Butterworth digital filtering equation of state with the improved Euler numerical solution, figuring out the signal first derivative value and second derivative value in the meantime, which has avoided the influence of derivative discretization error, increased the operation precision. According to the massive simulations and experiments in view of the different power´s electrical machinery studies, the experimental result has confirmed its good stability, consistency and accuracy.
Keywords :
Butterworth filters; induction motors; least squares approximations; parameter estimation; Butterworth digital filtering state equation; Euler numerical solution; RLS algorithm; electrical machinery; induction motor; online parameter identification; recursion method of least square; Abstracts; Artificial intelligence; Educational institutions; Finite wordlength effects; Rotors; Stators; Induction motor; RLS (recursion method of least square); on-line parameter identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
Type :
conf
DOI :
10.1109/ICEMS.2013.6713208
Filename :
6713208
Link To Document :
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