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:
IEEE
PY - 2024
Y1 - 2024
N2 - To promote the drive performance of surface-mounted permanent magnet synchronous motor (SPMSM), such as responsiveness, tracking accuracy, and anti-disturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this paper. 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 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 anti-disturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this paper. 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 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 - Accuracy
KW - Current control
KW - Deadbeat predictive current control (DPCC)
KW - Mathematical models
KW - Observers
KW - Power electronics
KW - Robustness
KW - Stators
KW - extended state observer (ESO)
KW - super-twisting observer (STO)
KW - super-twisting terminal sliding mode (STSMC)
KW - surface-mounted permanent-magnet synchronous motor (SPMSM)
UR - http://www.scopus.com/inward/record.url?scp=85199329267&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2024.3430501
DO - 10.1109/JESTPE.2024.3430501
M3 - 文章
AN - SCOPUS:85199329267
SN - 2168-6777
SP - 1
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
ER -