TY - GEN
T1 - Sensorless predictive speed control of permanent-magnet synchronous generators in wind turbine applications
AU - Abdelrahem, Mohamed
AU - Hackl, Christoph
AU - Kennel, Ralph
AU - Rodriguez, Jose
N1 - Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.
PY - 2019
Y1 - 2019
N2 - This paper proposes a sensorless predictive speed control (PSC) technique for permanent-magnet synchronous generators (PMSGs) in variable-speed wind turbines. The proposed technique allows to manipulate all the mechanical and electrical variables (i.e. speed and current/torque) in a single control law to generate the optimal switching state to apply in the next sampling instant. Accordingly, the cascaded-control structure is eliminated, which significantly enhanced the dynamic performance of the proposed control strategy. Furthermore, a non-linear observer is proposed to estimate the speed/position of the rotor and the load torque, and accordingly, the system reliability is enhanced and the cost is reduced. Experimental results using a dSPACE DS1007 R&D controller board-based real time system and14.5 kW PMSG are presented to verify the feasibility of the proposed control algorithm.
AB - This paper proposes a sensorless predictive speed control (PSC) technique for permanent-magnet synchronous generators (PMSGs) in variable-speed wind turbines. The proposed technique allows to manipulate all the mechanical and electrical variables (i.e. speed and current/torque) in a single control law to generate the optimal switching state to apply in the next sampling instant. Accordingly, the cascaded-control structure is eliminated, which significantly enhanced the dynamic performance of the proposed control strategy. Furthermore, a non-linear observer is proposed to estimate the speed/position of the rotor and the load torque, and accordingly, the system reliability is enhanced and the cost is reduced. Experimental results using a dSPACE DS1007 R&D controller board-based real time system and14.5 kW PMSG are presented to verify the feasibility of the proposed control algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85081789596&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85081789596
SN - 9783800749386
T3 - PCIM Europe Conference Proceedings
SP - 224
EP - 231
BT - PCIM Europe-International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2019
A2 - Amrhein, Martina
A2 - Schulze Niehoff, Anna
PB - Mesago PCIM GmbH
T2 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2019
Y2 - 7 May 2019 through 9 May 2019
ER -