TY - GEN
T1 - A Low-complexity Encoderless Model Predictive Current Control using Luenberger Observer for Induction Machine Drives
AU - Xie, Haotian
AU - Wang, Fengxiang
AU - Wei, Yao
AU - Rodriguez, Jose
AU - Zuo, Kunkun
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work would like proposes a low-complexity encoderless model predictive current control (MPCC) using Luenberger observer (LO) for induction machine (IM) drives. The proposed low-complexity MPCC optimizes the current error in the designed cost function without an exhaustive search. However, the information of angular speed is still collected by an encoder, which brings in an increased system maintenance and reduced reliability. Specifically, the flux information is estimated by the model of control plant, which is very sensitive to the variations of system parameters. To tackle the aforementioned issues, a Luenberger observer is proposed for estimating both the angular speed and model parameters in the MPCC methodology. The experimental implementation is conducted on a 2.2 kW IM testbench, which confirms a decent performance in a series of test scenarios.
AB - This work would like proposes a low-complexity encoderless model predictive current control (MPCC) using Luenberger observer (LO) for induction machine (IM) drives. The proposed low-complexity MPCC optimizes the current error in the designed cost function without an exhaustive search. However, the information of angular speed is still collected by an encoder, which brings in an increased system maintenance and reduced reliability. Specifically, the flux information is estimated by the model of control plant, which is very sensitive to the variations of system parameters. To tackle the aforementioned issues, a Luenberger observer is proposed for estimating both the angular speed and model parameters in the MPCC methodology. The experimental implementation is conducted on a 2.2 kW IM testbench, which confirms a decent performance in a series of test scenarios.
KW - Luenberger observer
KW - induction machine
KW - low algorithm complexity
KW - model predictive current control
UR - http://www.scopus.com/inward/record.url?scp=85146337728&partnerID=8YFLogxK
U2 - 10.1109/ICEMS56177.2022.9983321
DO - 10.1109/ICEMS56177.2022.9983321
M3 - Conference contribution
AN - SCOPUS:85146337728
T3 - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
BT - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Electrical Machines and Systems, ICEMS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -