TY - GEN
T1 - Tube-based robust current control of induction motors
AU - Li, Xinyue
AU - Kennel, Ralph
AU - Peter, Heiko
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - This paper develops a current controller for the induction motor (IM) to improve the control robustness against parameter variations, which are mainly caused by the condition changings in IM during operation. We use tube-based robust model predictive control (TMPC) as the current controller for IM to tackle the parameter mismatch problem. In TMPC the nominal constraints are tightened by the robust positively invariant set. The control laws of the optimization problem described by the TMPC are computed off-line by solving the multi-parameter quadratic programming, which significantly reduces the online execution time of the controller. Simulation results indicate that TMPC is more robust than PI and explicit model predictive control (EMPC). TMPC has lower searching burden than EMPC, which further improves the dynamics of the controller. Real-time feasibility of TMPC up to 8kHz sampling rate is demonstrated by experiments.
AB - This paper develops a current controller for the induction motor (IM) to improve the control robustness against parameter variations, which are mainly caused by the condition changings in IM during operation. We use tube-based robust model predictive control (TMPC) as the current controller for IM to tackle the parameter mismatch problem. In TMPC the nominal constraints are tightened by the robust positively invariant set. The control laws of the optimization problem described by the TMPC are computed off-line by solving the multi-parameter quadratic programming, which significantly reduces the online execution time of the controller. Simulation results indicate that TMPC is more robust than PI and explicit model predictive control (EMPC). TMPC has lower searching burden than EMPC, which further improves the dynamics of the controller. Real-time feasibility of TMPC up to 8kHz sampling rate is demonstrated by experiments.
KW - Induction motor current control
KW - Model predictive control
KW - Robust positive invariant set
KW - Set theory
UR - http://www.scopus.com/inward/record.url?scp=85073073717&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2019.8834167
DO - 10.1109/ICIEA.2019.8834167
M3 - Conference contribution
AN - SCOPUS:85073073717
T3 - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
SP - 2032
EP - 2036
BT - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Y2 - 19 June 2019 through 21 June 2019
ER -