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http://dx.doi.org/10.5302/J.ICROS.2014.13.1981

Model Predictive Control for Induction Motor Drives Fed by a Matrix Converter  

Choi, Woo Jin (Dept. of Electrical and Computer Engineering, Ajou University)
Lee, Eunsil (Dept. of Electrical and Computer Engineering, Ajou University)
Song, Joong-Ho (Dept. of Electrical and Information Engineering, Seoul National University of Sci. & Tech.)
Lee, Young-Il (Dept. of Electrical and Information Engineering, Seoul National University of Sci. & Tech.)
Lee, Kyo-Beum (Dept. of Electrical and Computer Engineering, Ajou University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.9, 2014 , pp. 900-907 More about this Journal
Abstract
This paper proposes a MPC (Model Predictive Control) method for the torque and flux controls of induction motor. The proposed MPC method selects the optimized voltage vector for the matrix converter control using the predictive modeling equation of the induction motor and cost function. Hence, the reference voltage vector that minimizes the cost function of the torque and flux error within the control period is selected and applied to the actual system. As a result, it is possible to perform the torque and flux control of induction motor using only the MPC controller without a PI (Proportional-Integral) or hysteresis controller. Even though the proposed control algorithm is more complicated and has lots of computations compared with the conventional MPC, it can perform torque ripple reduction by synthesizing voltage vectors of various magnitude. This feature provides the reduction of amount of calculations and the improvement of the control performance through the adjustment of the number of the unit vectors n. The proposed control method is validated through the PSIM simulation.
Keywords
IM (Induction Motor); MC (Matrix Converter); DTC (Direct Torque Control); MPC (Model Predictive Control); SVM (Space Vector Modulation);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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