TY - GEN
T1 - Finite control set-model predictive control with on-line parameter estimation for variable-speed wind energy conversion systems
AU - Stati, Nico
AU - Abdelrahem, Mohamed
AU - Mobarak, Muhammad Hosnee
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - In this paper, a finite control set-model predictive control (FCS-MPC) scheme with on-line parameter estimation for permanent magnet synchronous generators (PMSGs) based variable-speed wind turbines is proposed. For designing the proposed FCS-MPC, the discrete time model of the PMSG is considered and the future behavior is predicted. Afterward, the switching action that produces the minimum value of a predefined cost function is applied in the next sampling instant. In order to increase the robustness of the proposed FCS-MPC against parameter variations of the PMSG, an extended Kalman filter (EKF) is implemented for estimating the stator resistance and inductance of the PMSG. The performance of the proposed FCS-MPC with on-line parameter estimation is proved via simulation results for all operation conditions.
AB - In this paper, a finite control set-model predictive control (FCS-MPC) scheme with on-line parameter estimation for permanent magnet synchronous generators (PMSGs) based variable-speed wind turbines is proposed. For designing the proposed FCS-MPC, the discrete time model of the PMSG is considered and the future behavior is predicted. Afterward, the switching action that produces the minimum value of a predefined cost function is applied in the next sampling instant. In order to increase the robustness of the proposed FCS-MPC against parameter variations of the PMSG, an extended Kalman filter (EKF) is implemented for estimating the stator resistance and inductance of the PMSG. The performance of the proposed FCS-MPC with on-line parameter estimation is proved via simulation results for all operation conditions.
UR - http://www.scopus.com/inward/record.url?scp=85010506579&partnerID=8YFLogxK
U2 - 10.1109/INDEL.2016.7797775
DO - 10.1109/INDEL.2016.7797775
M3 - Conference contribution
AN - SCOPUS:85010506579
T3 - 2016 International Symposium on Industrial Electronics, INDEL 2016 - Proceedings
BT - 2016 International Symposium on Industrial Electronics, INDEL 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Symposium on Industrial Electronics, INDEL 2016
Y2 - 3 November 2016 through 5 November 2016
ER -