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Faculty of Engineering University of Malaya

Matrix converter

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Full-Text Articles in Engineering

Experimental Validation Of Minimum Cost Function-Based Model Predictive Converter Control With Efficient Reference Tracking Feb 2015

Experimental Validation Of Minimum Cost Function-Based Model Predictive Converter Control With Efficient Reference Tracking

Faculty of Engineering University of Malaya

This study proposes a robust and powerful finite control set-model predictive control (MPC) algorithm to control the load current with lower total harmonic distortion and efficient reference tracking. In this control, the cost functions are determined for all the possible switching states of the converter and a switching state is selected corresponding to the minimum cost function for actuating the converter in the next sampling time period. To justify the performance of the proposed MPC scheme, a comprehensive study with the carrier-based pulse-width modulation, hysteresis current control and proposed minimum cost function-based MPC of the three-phase load current has been …


Imposed Weighting Factor Optimization Method For Torque Ripple Reduction Of Im Fed By Indirect Matrix Converter With Predictive Control Algorithm Jan 2015

Imposed Weighting Factor Optimization Method For Torque Ripple Reduction Of Im Fed By Indirect Matrix Converter With Predictive Control Algorithm

Faculty of Engineering University of Malaya

This paper proposes a weighting factor optimization method in predictive control algorithm for torque ripple reduction in an induction motor fed by an indirect matrix converter (IMC). In this paper, the torque ripple behavior is analyzed to validate the proposed weighting factor optimization method in the predictive control platform and shows the effectiveness of the system. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponds to minimum torque ripple and is compared with the results of conventional weighting factor based predictive control algorithm. The predictive control algorithm selects the optimum switching state that minimizes a …