TY - JOUR
T1 - Enhanced Deadbeat Predictive Current Control for SPMSM Drives Combining Robust Super-Twisting Terminal Sliding Mode Speed Controller
AU - Dang, Mengxi
AU - Dou, Manfeng
AU - Hua, Zhiguang
AU - Dang, Changliang
AU - Gong, Chao
AU - Zhao, Dongdong
AU - Wang, Yuanlin
AU - Liang, Bin
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2025
Y1 - 2025
N2 - To promote the drive performance of surface-mounted permanent magnet synchronous motor (SPMSM), such as responsiveness, tracking accuracy, and antidisturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this article. First, a novel SPMSM model considering parameter perturbation is derived. Subsequently, a super-twisting terminal sliding mode control (STSMC) scheme with a super-twisting observer (STO) is proposed to enhance the performance of the speed loop, with stability validated using the Lyapunov theory. In addition, two extended state observers (ESOs) are developed to estimate the predictive error caused by parameter mismatch in the dq axis, respectively, and the estimated values are compensated with feedback to DPCC. Finally, the proposed control methods are implemented on an SPMSM platform and compared with conventional control methods under various operating conditions, and the comparison results prove the superiority.
AB - To promote the drive performance of surface-mounted permanent magnet synchronous motor (SPMSM), such as responsiveness, tracking accuracy, and antidisturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this article. First, a novel SPMSM model considering parameter perturbation is derived. Subsequently, a super-twisting terminal sliding mode control (STSMC) scheme with a super-twisting observer (STO) is proposed to enhance the performance of the speed loop, with stability validated using the Lyapunov theory. In addition, two extended state observers (ESOs) are developed to estimate the predictive error caused by parameter mismatch in the dq axis, respectively, and the estimated values are compensated with feedback to DPCC. Finally, the proposed control methods are implemented on an SPMSM platform and compared with conventional control methods under various operating conditions, and the comparison results prove the superiority.
KW - Deadbeat predictive current control (DPCC)
KW - extended state observer (ESO)
KW - super-twisting observer (STO)
KW - super-twisting terminal sliding mode control (STSMC)
KW - surface-mounted permanent-magnet synchronous motor (SPMSM)
UR - http://www.scopus.com/inward/record.url?scp=105003781047&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2024.3430501
DO - 10.1109/JESTPE.2024.3430501
M3 - 文章
AN - SCOPUS:105003781047
SN - 2168-6777
VL - 13
SP - 1442
EP - 1454
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
IS - 2
ER -