Parameter identification of induction motors using dynamic encoding algorithm for searches (DEAS)

Author

Kim, Jong-Wook ; Kim, Su Jin ; Kim, Sang Woo

Author_Institution

Electr. & Comput. Eng. Div., Pohang Univ. of Sci. & Technol., South Korea

Volume

1

fYear

2003

fDate

2-6 Nov. 2003

Firstpage

150

Abstract

An induction motor is one of the most popular electrical apparatuses due to its simple structure and robust construction. Parameter identification of the induction motor has long been researched either for a vector control technique or fault detection. In this paper, a recently developed optimization algorithm is applied to the identification of whole unknown parameters in the mathematical equations of an induction motor with normal operating data. Despite low quality persistence excitation conditions in load perturbations, trends of identified parameters validate the reliability of a proposed approach.

Keywords

encoding; induction motors; machine vector control; minimisation; parameter estimation; reliability; search problems; dynamic encoding algorithm for searches; fault detection; induction motors; load perturbations; operating data; optimization algorithm; parameter identification; quality persistence excitation conditions; reliability; robust construction; vector control technique; Encoding; Equations; Heuristic algorithms; Induction motors; Parameter estimation; Robustness; Rotors; Signal processing; Stators; Synchronous motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE

Print_ISBN

0-7803-7906-3

Type

conf

DOI

10.1109/IECON.2003.1279971

Filename

1279971