TY - GEN
T1 - Predictive Field Oriented Control based on MRAS Current Estimator for im Drives
AU - Xie, Haotian
AU - Wang, Fengxiang
AU - Zhang, Wei
AU - Garcia, Cristian
AU - Rodriguez, Jose
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/29
Y1 - 2020/11/29
N2 - In this paper, a new Predictive Field Oriented Control (PFOC) strategy is presented for the alternating current machine drive. The key feature of the PFOC method is that it has no pulse width modulation (PWM) process and an optimized inner current controller. This scheme adopts an inner current loop with cost function and an outer speed loop for torque tracking. In the proposed PFOC method, we design an optimized inner current controller that the stator current components in stationary frame are compared with their reference values, and then the tracking errors are optimized in a sequential order. Therefore, the optimized controller has no tuning parameters to modify the two orthogonal objective terms in the cost function. Moreover, a MRAS current estimator is designed to realize high accuracy speed and current estimations. It is confirmed by experimental results that the proposed MRAS current estimator based PFOC achieves lower speed tracking error, as well as improved steady-state and dynamic performance.
AB - In this paper, a new Predictive Field Oriented Control (PFOC) strategy is presented for the alternating current machine drive. The key feature of the PFOC method is that it has no pulse width modulation (PWM) process and an optimized inner current controller. This scheme adopts an inner current loop with cost function and an outer speed loop for torque tracking. In the proposed PFOC method, we design an optimized inner current controller that the stator current components in stationary frame are compared with their reference values, and then the tracking errors are optimized in a sequential order. Therefore, the optimized controller has no tuning parameters to modify the two orthogonal objective terms in the cost function. Moreover, a MRAS current estimator is designed to realize high accuracy speed and current estimations. It is confirmed by experimental results that the proposed MRAS current estimator based PFOC achieves lower speed tracking error, as well as improved steady-state and dynamic performance.
KW - MRAS current estimator
KW - Predictive Field Oriented Control
KW - no weighting factor
KW - unconstrained inner-loop bandwidth
UR - http://www.scopus.com/inward/record.url?scp=85103160807&partnerID=8YFLogxK
U2 - 10.1109/IPEMC-ECCEAsia48364.2020.9367976
DO - 10.1109/IPEMC-ECCEAsia48364.2020.9367976
M3 - Conference contribution
AN - SCOPUS:85103160807
T3 - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
SP - 1029
EP - 1032
BT - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Y2 - 29 November 2020 through 2 December 2020
ER -