Alireza JA’AFARI, Cristian GARCIA, Jose RODRIGUEZ, S. Alireza DAVARI

Using vertical areas in finite set model predictive control of a three-level inverter aimed at computation reduction

In power electronics applications, finite set model predictive control (FS-MPC) has proven to be a viable strategy. However, due to the high processing power required, using this technology in multilevel converters is difficult. This strategy, which is based on predicting the behavior of the system for all conceivable states, has an issue with a numerous of possible switching states. A recent and useful strategy for dealing with the problem is the limiting of calculations based on triangle regions. Despite its success, this method has several limitations, including the computation required to locate the right triangle and the boundary modes. In this research, the vertical areas are used for the limiting of calculations. Not only determining the right zone is an easy task with this strategy, but the number of possible candidates is also reduced to two. Furthermore, the boundary mode will not occur. In the proposed method, two key advantages can be seen in the discussion of reduction of calculations: (1) new zoning, which eliminates the calculations related to the slope of the lines. (2) The number of options placed in the cost function has been reduced to 2 candidates. Simulations are used to validate the approach, which is applied to a three-level neutral point clamped (NPC) inverter.

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[1] Marzoughi A, Burgos R, Boroyevich D, Xue Y. Investigation and comparison of cascaded H-bridge and modular multilevel converter topologies for medium-voltage drive application. IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society 2014, Dallas, TX, USA; 40: 1562-1568. doi: 10.3906/IECON.2014.7048710
[2] Ying J, Gan H. High power conversion technologies & trend. Conference Proceedings 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, Harbin, China, IPEMC 2012; 3: 1766–1770. doi: 10.1109/IPEMC.2012.6259104
[3] Ye Z, Xu Y, Li F, Deng X, Zhang Y. Simplified PWM strategy for neutral-point-clamped (NPC) three-level converter. Journal of Power Electronics 2014; 14 (3): 519–530. doi: 10.6113/JPE.2014.14.3.519
[4] Chokkalingam B, Bhaskar MS, Padmanaban S, Ramachandaramurthy VK, Iqbal A. Investigations of multi-carrier pulse width modulation schemes for diode free neutral point clamped multilevel inverters. Journal of Power Electronics 2019; 19 (3): 702–713. doi: 10.6113/JPE.2019.19.3.702
[5] Taheri A, Zhalebaghi MH. A new model predictive control algorithm by reducing the computing time of cost function minimization for NPC inverter in three-phase power grids. ISA Transactions 2017; 71 : 391–402. doi: 10.1016/j.isatra.2017.07.027
[6] Han J, Li C, Yang T, Han J. Simplified Finite Set Model Predictive Control Strategy of Grid-Connected Cascade H-Bridge Converter. Journal of Control Science and Engineering 2016; 2016 : 1-10. doi: 10.1155/2016/9478387
[7] Vazquez S, Leon JI, Franquelo LG, Rodriguez J, Young HA et al. Model predictive control: A review of its applications in power electronics. IEEE Industrial Electronics Magazine 2013; 8 (1) : 16-31. doi: 10.1109/MIE.2013.2290138
[8] Donoso F, Mora A, Cardenas R, Angulo A, Saez D et al. Finite-Set Model-Predictive Control Strategies for a 3L-NPC Inverter Operating with Fixed Switching Frequency. IEEE Transactions on Industrial Electronics 2018; 65 (5) : 3954–3965. doi: 10.1109/TIE.2017.2760840
[9] Liu X, Wang D, Peng Z. An improved finite control-set model predictive control for nested neutral point-clamped converters under both balanced and unbalanced grid conditions. International Journal of Electrical Power and Energy Systems 2019; 104 (july 2018) : 910–923. doi: 10.1016/j.ijepes.2018.07.046
[10] Li Y, Zhao Y . A Virtual space vector model predictive control for a Seven-Level hybrid multilevel converter. IEEE Transactions on Power Electronics 2020; 36(3) : 3396-3407. doi: 10.1109/TPEL.2020.3015444
[11] Wang Y, Wang X, Xie W, Wang F, Dou M et al. Deadbeat Model-Predictive Torque Control with Discrete SpaceVector Modulation for PMSM Drives. IEEE Transactions on Industrial Electronics 2017; 64 (5) : 3537–3547. doi: 10.1109/TIE.2017.2652338
[12] Norambuena M, Rodriguez J, Zhang Z, Wang F, Garcia C et al. A very simple strategy for high-quality performance of ac machines using model predictive control. IEEE Transactions on Power Electronics 2018; 34 (1) : 794-800. doi: 10.1109/TPEL.2018.2812833
[13] Bahrami A, Norambuena M, Narimani M, Rodriguez J. Model predictive current control of a seven-level inverter with reduced computational burden. IEEE Transactions on Power Electronics 2020; 35 (6) : 5729–5740. doi: 10.1109/TPEL.2019.2952533
[14] Vodola V, Odhano S, Garcia C, Norambuena M, Vaschetto S et al. Modulated model predictive control for induction motor drives with sequential cost function evaluation. IEEE Energy Conversion Congress and Exposition 2019; 2019 : 4911-4917. doi: 10.1109/ECCE.2019.8911870
[15] Siami M, Arab Khaburi D, Rodriguez J. Simplified finite control set-model predictive control for matrix converter-fed pmsm drives. IEEE Transactions on Power Electronics 2018; 33 (3) : 2438–2446. doi: 10.1109/TPEL.2017.2696902
[16] Wang T, Liu C, Lei G, Guo Y, Zhu J. Model predictive direct torque control of permanent magnet synchronous motors with extended set of voltage space vectors. IET Electric Power Applications 2017; 11(8) : 1376-1382. doi: 10.1049/iet-epa.2016.0870
[17] Kim I, Chan R, Kwak S. Model predictive control method for CHB multi-level inverter with reduced calculation complexity and fast dynamics. IET Electric Power Applications 2017; 11 (5) : 784–792. doi: 10.1049/iet-epa.2016.0330
[18] Ja’afari A, Davari SA, Garcia C, Rodriguez J. Computation reduction for balancing the voltages of the DC-link capacitors in 3-level inverter by using redundant switching states. 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC) 2021, Tabriz, Iran; 12 : 1–6. doi: 10.1109/PEDSTC52094.2021.9405840
[19] Wang W, Liu Ch, Liu S, Zhao H. Model predictive torque control for dual Three-Phase PMSMs with simplified deadbeat solution and discrete space-vector modulation. IEEE Transactions on Energy Conversion 2021; 36 (2) : 1491–1499. doi: 10.1109/TEC.2021.3052132