Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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An Improved Predictive Control of an Induction Machine fed by a Matrix Converter for Torque Ripple Reduction

토크 리플 저감을 위한 매트릭스 컨버터 구동 유도 전동기의 향상된 예측 제어 기법

  • 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)
  • Received : 2014.12.08
  • Accepted : 2015.03.13
  • Published : 2015.07.01
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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.

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Acknowledgement

Supported by : 한국연구재단

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