Nowadays, predictive control systems are becoming more and more popular, which significantly reduce the cost of setting up converters. However, DC-DC converter control problem persists. In this work, a modified model of the predictive control system (MPCS) for step-up DC-DC converters is presented. For its implementation, a nonlinear model of a converter with discrete time switching was derived, which describe a continuous conduction mode of operation. The synthesis of the controller was achieved by formulating the objective function that should be minimized considering the dynamic model of the converter. The proposed predictive control strategy, used as a voltage control system, allows keeping the output voltage at the reference level. The modified system for calculating the objective function makes it possible to significantly reduce the required computing power and expand the prediction horizon. The results of modeling have been presented that demonstrate the advantages of the proposed control method: a fast transient response and a high degree of robustness.
1. A stable design of PI control for DC-DC converters with an RHS zero / J. Alvarez-Ramirez, I. Cervantes, G. Espinosa-Perez et al. // IEEE Trans. Circuits Syst. I: Fundamental Theory and Applications. 2001. Vol. 48. Iss. 1. P. 103–106. DOI: https://doi.org/10.1109/81.903192
2. Sachin C.S., Nayak S.G. Design and simulation for sliding mode control in DC-DC boost converter // 2017 2nd International Conference on Communication and Electronics Systems (ICCES). Coimbatore: IEEE, 2017. P. 440–445. DOI: https://doi.org/10.1109/CESYS.2017.8321317
3. Mayne D.Q., Rawlings J.B., Rao C.V., Scokaert P.O.M. Constrained model predictive control: Stability and optimality // Automatica. 2000. Vol. 36. Iss. 6. P. 789–814. DOI: https://doi.org/10.1016/S0005-1098(99)00214-9
4. Gil-González W., Escobar-Mejía A., Montoya-Giraldo O.D. Model predictive direct power control applied to grid-connected voltage source inverters // 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). Dubrovnik: IEEE, 2020. P. 610–614. DOI: https://doi.org/ 10.1109/PEDG48541.2020.9244406
5. Shi H., Zong J., Ren L. Modified model predictive control of voltage source inverter // 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Confe-rence (IAEAC). Chengdu: IEEE, 2019. P. 754–759. DOI: https://doi.org/10.1109/IAEAC47372.2019.8997737
6. Sun X., Zhou Y., Chen G., Ren B. Model predictive control of a phase-shifted full-bridge DC-DC converter // 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). Nanjing: IEEE, 2020. P. 2710–2714. DOI: https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367652
7. Nguyen T.-L., Vu H.-C., Tran Q.-H., Lee H.-H. Voltage sensorless model predictive control of AC/DC matrix converters // 2020 IEEE 9th International Power Electronics and Mo-tion Control Conference (IPEMC2020-ECCE Asia). Nanjing: IEEE, 2020. P. 214–218. DOI: https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9368177
8. Research on model predictive control method for multi-paralleled DC-DC converters / Z. Chen, B. Duan, G. Zhang et al. // 2019 3rd Conference on Vehicle Control and Intelligence (CVCI). Hefei: IEEE, 2019. P. 1–5. DOI: https://doi.org/10.1109/CVCI47823.2019.8951733
9. Enumeration-based predictive control for buck DC-DC converter / Q. Huang, X. Yan, R. Ling et al. // 2017 29th Chinese Control and Decision Conference (CCDC). Chongqing: IEEE, 2017. P. 6700–6704. DOI: https://doi.org/10.1109/CCDC.2017.7978383
10. Rawlings J.B., Mayne D.Q. Model predictive control theory and design. Madison, WI: Nob Hill, 2009. 533 p.
11. Karamanakos P., Geyer T., Manias S. Direct voltage control of DC-DC boost conver-ters using enumeration-based model predictive control // IEEE Transactions on Power Electron-ics. 2014. Vol. 29. Iss. 2. P. 968–978. DOI: https://doi.org/10.1109/TPEL.2013.2256370