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http://dx.doi.org/10.5302/J.ICROS.2015.14.0131

An Improved Predictive Control of an Induction Machine fed by a Matrix Converter for Torque Ripple Reduction  

Lee, Eunsil (Department of Electrical and Computer Engineering., Ajou University)
Choi, Woo Jin (Department of Electrical and Computer Engineering., Ajou University)
Lee, Kyo-Beum (Department of Electrical and Computer Engineering., Ajou University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.21, no.7, 2015 , pp. 662-668 More about this Journal
Abstract
This paper presents an improved predictive control of an induction machine fed by a matrix converter using N-switching vectors as the control action during a complete sampling period of the controller. The conventional model predictive control scheme based matrix converter uses a single switching vector over the same period which introduces high torque ripple. The proposed switching scheme for a matrix converter based model predictive control of an induction machine drive selects the appropriate switching vectors for control of electromagnetic torque with small variations of the stator flux. The proposed method can reduce the ripple of the electrical variables by selecting the switching state as well as the method used in the space vector modulation techniques. Simulation results are presented to verify the effectiveness of the improved predictive control strategy for induction machine fed by a matrix converter.
Keywords
Model Predictive Control (MPC); matrix converter; Space Vector Modulation (SVM); torque ripple reduction; induction machine;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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