Abstract
In this paper, an improved direct finite-control-set model predictive control with delay compensation and simplified computational approach is proposed for active front-end rectifiers. Specifically, an active voltage vector which only requires one exploration is directly selected and applied to avoid the exhaustive exploration for testing all feasible voltage vectors during one switching period. Meanwhile, a delay compensation method is presented. The control delay caused by the calculation effort can be compensated. The performance of the proposed method can be improved. Simulation results are presented to demonstrate the efficacy of the proposed method.
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Acknowledgement
This work was in part supported by the National Nature Science Foundation of China under Grants 61273137, 51209026, 51579023, 51579022, and in part by the China Postdoctoral Science Foundation under Grant 2015M570247, and in part by the Fundamental Research Funds for the Central Universities under Grants 3132016201, 3132014321.
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Liu, X., Wang, D., Peng, Z. (2016). Improved Direct Finite-control-set Model Predictive Control Strategy with Delay Compensation and Simplified Computational Approach for Active Front-end Rectifiers. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_26
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DOI: https://doi.org/10.1007/978-3-319-40663-3_26
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