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<p>In this paper, an improved continuous control set model predictive control (CCS-MPC) method based on controlling the output voltage derivative is proposed for a two-level voltage source inverter (2&#xa0;L-VSI) with an <i>LC</i> filter. Firstly, a mathematical model of the system under the lumped disturbances (load disturbance, parameter disturbance, and load current uncertainty) is developed. Then, a finite-time observer is designed to provide feed-forward compensation, and a new minimization cost function is constructed. An improved continuous control set model predictive control method suitable for fast and accurate control of the output voltage of voltage source inverter in <i>dq</i> reference frame is designed. Finally, the proposed method is verified via simulation and experimental verification. The dynamic performance is slightly lower than that of the conventional CCS-MPC method in the face of load disturbances, unbalanced loads, and nonlinear loads, but the steady-state performance is higher than that of the conventional method.</p>

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An improved continuous control set model predictive control for LC-filtered voltage-source inverter

  • 期刊论文

  • 发表日期：

    2025年7月31日

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  • Xu-Chao Hu,
  • Cheng-Lin Liu,
  • Liang Shan

摘要

In this paper, an improved continuous control set model predictive control (CCS-MPC) method based on controlling the output voltage derivative is proposed for a two-level voltage source inverter (2 L-VSI) with an LC filter. Firstly, a mathematical model of the system under the lumped disturbances (load disturbance, parameter disturbance, and load current uncertainty) is developed. Then, a finite-time observer is designed to provide feed-forward compensation, and a new minimization cost function is constructed. An improved continuous control set model predictive control method suitable for fast and accurate control of the output voltage of voltage source inverter in dq reference frame is designed. Finally, the proposed method is verified via simulation and experimental verification. The dynamic performance is slightly lower than that of the conventional CCS-MPC method in the face of load disturbances, unbalanced loads, and nonlinear loads, but the steady-state performance is higher than that of the conventional method.