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논문 기본 정보

자료유형
학술저널
저자정보
Muslem Uddin (University of Malaya) Saad Mekhilef (University of Malaya) Marco Rivera (Universidad de Talca) Jose Rodriguez (Universidad Tecnica Federico Santa Maria)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.1
발행연도
2015.1
수록면
227 - 242 (16page)

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초록· 키워드

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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 cost function based on optimized weighting factor to actuate the indirect matrix converter. The conventional and introduced weighting factor optimization method in predictive control algorithm are validated through simulations and experimental validation in DS1104 R&D controller platform and show the potential control, tracking of variables with their respective references and consequently reduces the torque ripple.

목차

Abstract
1. Introduction
2. Modeling of Indirect Matrix Converter Topology
3. Proposed Predictive Control Algorithm with Weighting Factor Optimization Method
4. Simulation Results and Discussion
5. Experimental Results and Discussion
6. Conclusion
References

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