Model predictive control for quasi-Z-source inverter-permanent magnet synchronous motor system without weighting factor

Jiujian Chang; Xuetao Lu

doi:10.1117/12.3014966

4 March 2024 Model predictive control for quasi-Z-source inverter-permanent magnet synchronous motor system without weighting factor

Jiujian Chang, Xuetao Lu

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814T (2024) https://doi.org/10.1117/12.3014966
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

To address the strong non-linearity, multiple control targets, and coupling challenges of the quasi-Z-source inverter-permanent magnet synchronous motor (qZSI-PMSM) system, a model predictive control (MPC) without weight factor is proposed. This strategy employs a cascade structure together with a ranking principle to determine the system state based on the current value of the inductor current. If it is a shoot-through (ST) state, the ST state is selected as the optimal switching state. Conversely, if it is a non-shoot-through (NST) state, a ranking algorithm is carried out in conjunction with the system mathematical model to select the optimal switching state that balances capacitor voltage, motor electromagnetic torque, and stator flux linkage. The article compares the traditional MPC (T-MPC) with the proposed MPC (P-MPC) in simulation. The results demonstrate that the P-MPC can achieve excellent performance of the qZSI-PMSM system without the need for tedious weighting factors design work.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiujian Chang and Xuetao Lu "Model predictive control for quasi-Z-source inverter-permanent magnet synchronous motor system without weighting factor", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814T (4 March 2024); https://doi.org/10.1117/12.3014966

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