TY - GEN
T1 - Single Q-Axis Current Reference Control Strategy Based on Line-Constrained EMPC for SPMSMs
AU - Wang, Han
AU - Su, Jianyong
AU - Yang, Guijie
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper proposes an improved line-constrained Explicit Model Predictive (EMPC) single q-Axis current reference control strategy for surface-mounted permanent magnet synchronous motors (SPMSMs). The traditional EMPC algorithm is challenging to run on low-cost devices due to its high memory consumption. The improved algorithm adopts the strategy of line-constrained EMPC to directly constrain the d-axis current to 0A, eliminating the need for information about the d-axis current reference in the state variables. Compared to the traditional line-constrained EMPC algorithm, the improved algorithm further reduces the model dimensions. In this way, the memory usage and execution time of the line-constrained EMPC are further reduced, thereby improving efficiency. The superiority of the algorithm was validated through simulations and experiments.
AB - This paper proposes an improved line-constrained Explicit Model Predictive (EMPC) single q-Axis current reference control strategy for surface-mounted permanent magnet synchronous motors (SPMSMs). The traditional EMPC algorithm is challenging to run on low-cost devices due to its high memory consumption. The improved algorithm adopts the strategy of line-constrained EMPC to directly constrain the d-axis current to 0A, eliminating the need for information about the d-axis current reference in the state variables. Compared to the traditional line-constrained EMPC algorithm, the improved algorithm further reduces the model dimensions. In this way, the memory usage and execution time of the line-constrained EMPC are further reduced, thereby improving efficiency. The superiority of the algorithm was validated through simulations and experiments.
KW - Line-constarined EMPC
KW - Surface-mounted permanent magnet synchronous motors (SPMSMs) drives
KW - memory occupancy
KW - model dimensions
UR - https://www.scopus.com/pages/publications/85182318987
U2 - 10.1109/ICEMS59686.2023.10345125
DO - 10.1109/ICEMS59686.2023.10345125
M3 - 会议稿件
AN - SCOPUS:85182318987
T3 - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
SP - 4899
EP - 4903
BT - 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electrical Machines and Systems, ICEMS 2023
Y2 - 5 November 2023 through 8 November 2023
ER -