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Rotor flux Observer Using Robust Support Vector Regression for Field Oriented Induction Mmotor Drives  

Han Dong Chang (영남대학교 전기공학과 대학원)
Back Woon Jae (영남대학교 전기공학과 대학원)
Kim Sung Rag (영남대학교 전기공학과 대학원)
Kim Han Kil (영남대학교 전자정보공학부)
Lee Suk Gyu (영남대학교 전자정보공학부)
Park Jung IL (영남대학교 전자정보공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.22, no.2, 2005 , pp. 70-78 More about this Journal
Abstract
In this paper, a novel rotor flux estimation method of an induction motor using support vector regression(SVR) is presented. Two well-known different flux models with respect to voltage and current are necessary to estimate the rotor flux of an induction motor. Training of SVR which the theory of the SVR algorithm leads to a quadratic programming(QP) problem. The proposed SVR rotor flux estimator guarantees the improvement of performance in the transient and steady state in spite of parameter variation circumstance. The validity and the usefulness of proposed algorithm are throughly verified through numerical simulation.
Keywords
Support Vector Regression; Field Oriented Control; Induction Motor; Rotor Resistance;
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