TY - GEN
T1 - Simple and robust direct-model predictive current control technique for PMSGs in variable-speed wind turbines
AU - Abdelrahem, Mohamed
AU - Zhang, Zhenbin
AU - Kennel, Ralph
AU - Eldeeb, Hisham
AU - Hackl, Christoph
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/18
Y1 - 2017/10/18
N2 - This paper presents a simple and robust direct-model predictive current control (DMPCC) scheme for surface-mounted permanent-magnet synchronous generators (PMSGs) in variable-speed wind turbines (VSWTs). The proposed DMPCC is based on computing the reference voltage vector (VV) directly from the demanded reference current using a deadbeat-like function. Then, the location of this reference VV is identified based on its angle. Finally, a certain cost function is evaluated for only three times to get the optimal voltage vector to be applied in the next sampling instant. However, the proposed DMPCC is a model-based control system, and accordingly, sensitive to parameter variations of the PMSG. To mitigate such limitation, a simple observer is designed to enhance the robustness of the proposed DMPCC scheme to variations of the PMSG parameters. The proposed DMPCC strategy has been experimentally implemented and its performance has been compared with that of the conventional DMPCC.
AB - This paper presents a simple and robust direct-model predictive current control (DMPCC) scheme for surface-mounted permanent-magnet synchronous generators (PMSGs) in variable-speed wind turbines (VSWTs). The proposed DMPCC is based on computing the reference voltage vector (VV) directly from the demanded reference current using a deadbeat-like function. Then, the location of this reference VV is identified based on its angle. Finally, a certain cost function is evaluated for only three times to get the optimal voltage vector to be applied in the next sampling instant. However, the proposed DMPCC is a model-based control system, and accordingly, sensitive to parameter variations of the PMSG. To mitigate such limitation, a simple observer is designed to enhance the robustness of the proposed DMPCC scheme to variations of the PMSG parameters. The proposed DMPCC strategy has been experimentally implemented and its performance has been compared with that of the conventional DMPCC.
KW - Disturbance observer
KW - Model predictive control
KW - Permanent-magnet synchronous generator
KW - Wind turbines
UR - https://www.scopus.com/pages/publications/85039930363
U2 - 10.1109/PRECEDE.2017.8071099
DO - 10.1109/PRECEDE.2017.8071099
M3 - Conference contribution
AN - SCOPUS:85039930363
T3 - Proceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
SP - 1
EP - 6
BT - Proceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
Y2 - 4 September 2017 through 6 September 2017
ER -