TY - GEN
T1 - ESO-Based Robust Predictive Current Control of DFIG under Nonideal Grid Conditions
AU - Zhang, Shengan
AU - Zhang, Yongchang
AU - Jiang, Tao
AU - Rodriguez, Jose
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - When the doubly-fed induction generators (DFIGs) operate under unbalanced and distorted power grid conditions, the traditional control strategy can hardly maintain its original stable performance, resulting in distortion of the stator and rotor currents. In addition, when the motor parameters are affected by environmental factors and the machine's own design limitations, the performance of the controller used will also be further reduced. This paper proposes a robust predictive rotor current control (R-PRCC) scheme for a DFIG in order to obtain sinusoidal and balanced rotor current under complex operating conditions. The reference value of the positive sequence component of the rotor current is obtained by cascaded delayed signal cancellation (CDSC), and the total system disturbance caused by model uncertainty can be quickly estimated by the Extended State Observer (ESO). By combining with deadbeat control, the rotor current can be fast and accurately controlled. The proposed R-PRCC scheme is compared to conventional model predictive rotor current control (MPRCC). Simulated and experimental results obtained for a 1.5 kW laboratory DFIG system confirm the effectiveness of the proposed method.
AB - When the doubly-fed induction generators (DFIGs) operate under unbalanced and distorted power grid conditions, the traditional control strategy can hardly maintain its original stable performance, resulting in distortion of the stator and rotor currents. In addition, when the motor parameters are affected by environmental factors and the machine's own design limitations, the performance of the controller used will also be further reduced. This paper proposes a robust predictive rotor current control (R-PRCC) scheme for a DFIG in order to obtain sinusoidal and balanced rotor current under complex operating conditions. The reference value of the positive sequence component of the rotor current is obtained by cascaded delayed signal cancellation (CDSC), and the total system disturbance caused by model uncertainty can be quickly estimated by the Extended State Observer (ESO). By combining with deadbeat control, the rotor current can be fast and accurately controlled. The proposed R-PRCC scheme is compared to conventional model predictive rotor current control (MPRCC). Simulated and experimental results obtained for a 1.5 kW laboratory DFIG system confirm the effectiveness of the proposed method.
KW - current control
KW - predictive control
KW - robustness
UR - http://www.scopus.com/inward/record.url?scp=85125790984&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE51386.2021.9680944
DO - 10.1109/PRECEDE51386.2021.9680944
M3 - Conference contribution
AN - SCOPUS:85125790984
T3 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
SP - 610
EP - 615
BT - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Y2 - 20 November 2021 through 22 November 2021
ER -