TY - JOUR
T1 - Parameter-Free Predictive Torque and Flux Control for PMSM Based on Incremental Stator Flux Predictive Model
AU - Wu, Xuan
AU - Yang, Meizhou
AU - Wu, Ting
AU - Lu, Kaiyuan
AU - Wang, Yizhe
AU - Liu, Xicai
AU - Huang, Shoudao
AU - Cui, Hesong
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - Model predictive torque control for permanent magnet synchronous motors is sensitive to parameters and requires weighting factors. Model-free parallel predictive torque control (MF-PPTC) is one of the latest solutions. However, it suffers from a heavy computational burden and hardly achieves the optimization of both torque and flux. In this article, a parameter-free predictive torque and flux control (PF-PTFC) is proposed to improve parameter robustness and eliminate weighting factors. First, a parameter-free incremental stator flux predictive model (ISFPM) is defined by eliminating parameter terms found in conventional predictive models. Based on ISFPM, a new cost function without weighting factors is constructed to automatically compensate for the impact of missing parameter items. Compared with the MF-PPTC, the proposed strategy has a lower computational burden and better steady-state performance. Moreover, the PF-PTFC is combined with an active-disturbance-rejection-based discrete-time integral sliding-mode speed controller to improve speed regulation. The experiments confirm the proposed method's superiority.
AB - Model predictive torque control for permanent magnet synchronous motors is sensitive to parameters and requires weighting factors. Model-free parallel predictive torque control (MF-PPTC) is one of the latest solutions. However, it suffers from a heavy computational burden and hardly achieves the optimization of both torque and flux. In this article, a parameter-free predictive torque and flux control (PF-PTFC) is proposed to improve parameter robustness and eliminate weighting factors. First, a parameter-free incremental stator flux predictive model (ISFPM) is defined by eliminating parameter terms found in conventional predictive models. Based on ISFPM, a new cost function without weighting factors is constructed to automatically compensate for the impact of missing parameter items. Compared with the MF-PPTC, the proposed strategy has a lower computational burden and better steady-state performance. Moreover, the PF-PTFC is combined with an active-disturbance-rejection-based discrete-time integral sliding-mode speed controller to improve speed regulation. The experiments confirm the proposed method's superiority.
KW - Incremental stator flux prediction model (ISFPM)
KW - parameter-free predictive torque and flux control (PF-PTFC)
KW - permanent magnet synchronous motors (PMSMs)
KW - weighting factor
UR - http://www.scopus.com/inward/record.url?scp=85166321089&partnerID=8YFLogxK
U2 - 10.1109/TII.2023.3295413
DO - 10.1109/TII.2023.3295413
M3 - Journal article
AN - SCOPUS:85166321089
SN - 1551-3203
VL - 20
SP - 2715
EP - 2726
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
ER -