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유도전동기 벡터제어를 위한 Support Vector Regression을 이용한 회전자자속 추정기
한동창(Dong Chang Han),백운재(Woon Jae Back),김성락(Sung Rag Kim),김한길(Han Kil Kim),이석규(Suk Gyu Lee),박정일(Jung IL Park) Korean Society for Precision Engineering 2005 한국정밀공학회지 Vol.22 No.2
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.