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SPMSM 인덕턴스 돌극성에 의한 전류리플 저감을 위한 PSO 알고리즘 기반의 H<SUB>∞</SUB> 전류 제어기 설계
이관형(Kwan-Hyung Lee),전찬영(Jeon-Chan Young),임동진(Dong-Jin Lim) 대한전기학회 2013 전기학회논문지 Vol.62 No.10
The useful method for determining parameters of weighting functions used to design the H∞ current controller for attenuating the current ripple due to saliencies which SPMSM(Surface Permanent Magnet Synchronous Motor) also incorporates is described. To analyze the effect, the current ripple due to the structural and the saturation saliencies, the SPMSM model with nonlinear inductance function depending on the two independent variables, rotor position and stator current is simulated. After analysis, parameters of the weighting functions for H∞ current controller is selected to satisfy the robust stability, robust performance and specific performance in time and frequency domain by using the PSO(Particle Swarm Optimization) algorithm in the linear SPMSM model. Especially, the robust performance is proved that the selected weighting functions play a role in reducing the current ripple caused by the saliencies of SPMSM at the desired frequency range by the simple experiment.
BLDC 모터의 토크리플을 줄이기 위한 전류 제어기 설계에 관한 연구
장소현(So-Hyun Jang),전찬영(Chan-Young Jeon),장경민(Kyung-Min Jang),조남훈(Nam-Hoon Jo) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.6
BLDC motors require the operation at high switching frequency in order to reduce the torque ripple from inverter. However there are problems to increase the switching frequency because of many reasons. In addition, there is the back-EMF as disturbances. In this paper, we study a disturbance observer (DOB) based controller for BLDC motors at low frequency. The computer simulation results show that the torque ripple reduction performance of the proposed DOB controller is superior to that of the conventional PI controller.
전찬영 한국해운학회 1999 해운물류연구 Vol.28 No.-
Vector Autoregressive(VAR) model can be usefully applied to various kinds of multiple macroeconomic time series data due to its ability to analyze many variables simultaneously. In VAR model, it's possible to know the response of one variable to an impulse of another variable and the proportion of forecast error variance of one accounted by others. Thus, one would like to investigate the relationship between two variables in a higher dimensional system. Nevertheless, there are many previous questions to be solved in utilizing the dynamic properties of VAR process. Amongst them, overparameterization and absence of proper estimation method are the key problems to limit the widespread use of the model. In this paper, for forecast of tanker freight rates VARMAX model will be established to overcome the overparameterization and Hannan and Rissanen's 3-step estimation method (HR method), which has been applied to ARMAX modeling, will be generalized in order to obtain the efficient estimate for the parameters of VARMAX model.