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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References
Davari, S.A., Khaburi, D.A., Kennel, R.: An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor. IEEE Trans. Power Electron. 27(3), 1540–1551 (2012)
Dragicevic, T., Lu, X., Vasquez, J.C., Guerrero, J.M.: DC microgrids-Part II: a review of power architectures, applications, and standardization issues. IEEE Trans. Power Electron. 31(5), 3528–3549 (2016)
Bouafia, A., Gaubert, J.P, Krim F.: Analysis and design of new switching table for direct power control of three-phase PWM rectifier. In: International Power Electronics and Motion Control Conference, pp. 703–709 (2008)
Martínez, J.A., García, J.E., Martín, D.S., Arnaltes, S.: A new variable-frequency optimal direct power control algorithm. IEEE Trans. Ind. Electron. 60(4), 1442–1451 (2013)
Zhang, Y.C., Xie, W., Zhang, Y.C.: Deadbeat direct power control of three-phase pulse-width modulation rectifiers. IET Power Electron. 7(6), 1340–1346 (2014)
Rodríguez, J., Pontt, J., Silva, C.A., Correa, P., Lezana, P., Cortés, P., Ammann, U.: Predictive current control of a voltage source inverter. IEEE Trans. Power Electron. 54(1), 495–503 (2007)
Cho, Y., Lee, K.B.: Virtual-flux-based predictive direct power control of three-phase PWM rectifiers with fast dynamic response. IEEE Trans. Power Electron. 31(4), 3348–3359 (2016)
Tarisciotti, L., Zanchetta, P., Watson, A., Clare, J.C., Degano, M., Bifaretti, S.: Modulated model predictive control for a three-phase active rectifier. IEEE Trans. Ind. Applications 51(2), 1610–1620 (2015)
Cheng, L., Liu, W.C., Hou, Z.G., Yu, J.Z., Tan, M.: Neural-network-based nonlinear model predictive control for piezoelectric actuators. IEEE Trans. Ind. Appl. 62(12), 7717–7727 (2015)
Hu, J.B.: Improved dead-beat predictive DPC strategy of grid-connected DC-AC converters with switching loss minimization and delay compensations. IEEE Trans. Ind. Inf. 9(2), 728–738 (2013)
Peng, F.Z., Lai, J.S.: Generalized instantaneous reactive power theory for three-phase power systems. IEEE Trans. Instru. Meas. 45(1), 293–297 (1996)
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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