TY - JOUR
T1 - Data-driven repetitive control
T2 - Wind tunnel experiments under turbulent conditions
AU - Frederik, Joeri
AU - Kröger, Lars
AU - Gülker, Gerd
AU - van Wingerden, Jan Willem
N1 - Accepted Author Manuscript
PY - 2018
Y1 - 2018
N2 - A commonly applied method to reduce the cost of wind energy, is alleviating the periodic loads on turbine blades using Individual Pitch Control (IPC). In this paper, a data-driven IPC methodology called Subspace Predictive Repetitive Control (SPRC) is employed. The effectiveness of SPRC will be demonstrated on a scaled 2-bladed wind turbine. An open-jet wind tunnel with an innovative active grid is employed to generate reproducible turbulent wind conditions. A significant load reduction with limited actuator duty is achieved even under these high turbulent conditions. Furthermore, it will be demonstrated that SPRC is able to adapt to changing operating conditions.
AB - A commonly applied method to reduce the cost of wind energy, is alleviating the periodic loads on turbine blades using Individual Pitch Control (IPC). In this paper, a data-driven IPC methodology called Subspace Predictive Repetitive Control (SPRC) is employed. The effectiveness of SPRC will be demonstrated on a scaled 2-bladed wind turbine. An open-jet wind tunnel with an innovative active grid is employed to generate reproducible turbulent wind conditions. A significant load reduction with limited actuator duty is achieved even under these high turbulent conditions. Furthermore, it will be demonstrated that SPRC is able to adapt to changing operating conditions.
KW - Active grid
KW - Data-driven control
KW - Individual pitch control
KW - Load alleviation
KW - Repetitive control
KW - Subspace identification
KW - Wind energy
KW - Wind tunnel experiments
UR - http://resolver.tudelft.nl/uuid:4de6e270-7db6-445f-b2a5-0b7846a2fdbe
UR - http://www.scopus.com/inward/record.url?scp=85052480623&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2018.08.011
DO - 10.1016/j.conengprac.2018.08.011
M3 - Article
AN - SCOPUS:85052480623
SN - 0967-0661
VL - 80
SP - 105
EP - 115
JO - Control Engineering Practice
JF - Control Engineering Practice
ER -