TY - GEN
T1 - Model-Free Predictive Sliding Mode Control for PMSM Drives Using Ultra-Local Method
AU - Wei, Yao
AU - Ke, Dongliang
AU - Wang, Fengxiang
AU - Heldwein, Marcelo Lobo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Since some physical parameters of the motor are time-varying, the realized control performances are inevitably affected by the parameter mismatches in the sliding mode control (SM C). To fully eliminate the influences caused by the parameter mismatches and enhance the robustness of the conventional SMC, an ultra-local-based model-free predictive SMC is proposed in this paper, and used as the current controller in the permanent magnet synchronous motor (PMSM) driving system. A priori model is replaced by the ultra-local, in which physical parameters of the plant are not required anymore. The unknown terms of the plant are summarized as a single variable and online estimated by an extended state observer (ESO) to maintain a well model accuracy. The effectiveness and correctness are demonstrated by the simulation and experimental results, as well as the advantage of current quality and speed integral of time and absolute error (ITAE) with suitable robustness.
AB - Since some physical parameters of the motor are time-varying, the realized control performances are inevitably affected by the parameter mismatches in the sliding mode control (SM C). To fully eliminate the influences caused by the parameter mismatches and enhance the robustness of the conventional SMC, an ultra-local-based model-free predictive SMC is proposed in this paper, and used as the current controller in the permanent magnet synchronous motor (PMSM) driving system. A priori model is replaced by the ultra-local, in which physical parameters of the plant are not required anymore. The unknown terms of the plant are summarized as a single variable and online estimated by an extended state observer (ESO) to maintain a well model accuracy. The effectiveness and correctness are demonstrated by the simulation and experimental results, as well as the advantage of current quality and speed integral of time and absolute error (ITAE) with suitable robustness.
KW - Model-free control
KW - data-driven model
KW - motor driving
KW - sliding mode control
KW - ultra-local
UR - http://www.scopus.com/inward/record.url?scp=85179519593&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10311841
DO - 10.1109/IECON51785.2023.10311841
M3 - Conference contribution
AN - SCOPUS:85179519593
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Y2 - 16 October 2023 through 19 October 2023
ER -