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Improved Finite-Control-Set Model Predictive Control for Cascaded H-Bridge Inverters

Author

Listed:
  • Roh Chan

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

  • Sangshin Kwak

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

Abstract

In multilevel cascaded H-bridge (CHB) inverters, the number of voltage vectors generated by the inverter quickly increases with increasing voltage level. However, because the sampling period is short, it is difficult to consider all the vectors as the voltage level increases. This paper proposes a model predictive control algorithm with reduced computational complexity and fast dynamic response for CHB inverters. The proposed method presents a robust approach to interpret a next step as a steady or transient state by comparing an optimal voltage vector at a present step and a reference voltage vector at the next step. During steady state, only an optimal vector at a present step and its adjacent vectors are considered as a candidate-vector subset. On the other hand, this paper defines a new candidate vector subset for the transient state, which consists of more vectors than those in the subset used for the steady state for fast dynamic speed; however, the vectors are less than all the possible vectors generated by the CHB inverter, for calculation simplicity. In conclusion, the proposed method can reduce the computational complexity without significantly deteriorating the dynamic responses.

Suggested Citation

  • Roh Chan & Sangshin Kwak, 2018. "Improved Finite-Control-Set Model Predictive Control for Cascaded H-Bridge Inverters," Energies, MDPI, vol. 11(2), pages 1-27, February.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:355-:d:130049
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    Citations

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    Cited by:

    1. Chengwei Luo & Derong Luo & Shoudao Huang & Gongping Wu & Hongzhang Zhu & Qianjun He, 2018. "A Novel Control Strategy for DC-Link Voltage Balance and Reactive Power Equilibrium of a Single-Phase Cascaded H-Bridge Rectifier," Energies, MDPI, vol. 12(1), pages 1-20, December.
    2. Yaqi Wang & Zhigang Liu, 2018. "Suppression Research Regarding Low-Frequency Oscillation in the Vehicle-Grid Coupling System Using Model-Based Predictive Current Control," Energies, MDPI, vol. 11(7), pages 1-21, July.
    3. Daliang Yang & Li Yin & Shengguang Xu & Ning Wu, 2018. "Power and Voltage Control for Single-Phase Cascaded H-Bridge Multilevel Converters under Unbalanced Loads," Energies, MDPI, vol. 11(9), pages 1-18, September.
    4. Leonardo Comparatore & Magno Ayala & Yassine Kali & Jorge Rodas & Julio Pacher & Alfredo Renault & Raúl Gregor, 2023. "Discrete-Time Sliding Mode Current Control for a Seven-Level Cascade H-Bridge Converter," Energies, MDPI, vol. 16(5), pages 1-19, March.
    5. Zhilin Lyu & Qing Wei & Yiyi Zhang & Junhui Zhao & Emad Manla, 2018. "Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current," Energies, MDPI, vol. 11(7), pages 1-17, July.
    6. Jin Zhu & Tongzhen Wei & Ming Ma & Libo Han, 2019. "Simple DC-Link Voltage Balancing Approach for Cascaded H-Bridge Rectifier with Asymmetric Parameters of Independent DC Loads," Energies, MDPI, vol. 12(9), pages 1-20, April.
    7. Ibrahim Harbi & Mohamed Abdelrahem & Mostafa Ahmed & Ralph Kennel, 2020. "Reduced-Complexity Model Predictive Control with Online Parameter Assessment for a Grid-Connected Single-Phase Multilevel Inverter," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    8. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.

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