Low-computation-burden model predictive current control for the grid-tied quasi-Z-source inverter

作者：Liu, Qinghua; Zhang, Jinliang^*; Kang, Longyun; Duan, Xinwei

来源：IET Power Electronics, 2024, 17(1): 10-24.

DOI：10.1049/pel2.12603

• DC-AC power convertors
• predictive control
• model predictive current control
• quasi-Z-source inverter
• low computation burden
• weighting factor

The appealing design known as the quasi-Z-source inverter (qZSI) can function in both buck and boost modes. In the meantime, model predictive control (MPC) for power transformers has attracted a lot of interest. In order to improve performance and solve the shortcomings of the current MPC, this paper suggests a low-computation-burden model predictive current control (LCB-MPCC) for the grid-tied qZSI. Two active vectors, one zero vector, and one shoot-through (ST) vector are used in the production of the output voltage. To get around the weighting factor, a modified sliding-mode control technique is suggested for instantly controlling the inductor current and capacitor voltage to their regulating spots. The duty cycle of the ST vector is acquired by the dead-beat control to restrict the inductor current and significantly reduce the inductor current ripple. Additionally, an effective and quick optimal sector selection strategy is provided that uses a look-up table to pick the optimal sector rather than a number of intricate calculations. Therefore, the proposed LCB-MPCC greatly reduces the computational burden. To demonstrate the efficacy and benefits of the suggested technique, simulation and experimental results are presented. @@@ The proposed low-computation-burden model predictive current control greatly reduces the computational burden and eliminates weighting factors.image

• 单位
  广东技术师范学院