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Jan-Willem van Wingerden
Control and system identification
Wind Energy Control System Research
History
Bosgra (Prof.)Baars (PhD)
Gregor Baars
Verhaegen (Prof.)
Wingerden (PhD )
2008
Molenaar (PhD)
2003
Control: Long history in the wind
Steinbuch (PhD)
1989
1994
Bongers (PhD)
Wingerden (associate. Prof.)
2011
2013
The Wind Control Technology Team
2014 2015 2016 2017
Math
AE
Relevance of controlVariable speed
turbine
20MW
Required:New control technologies/innovations
For:LoadsEnergy
The control landscape:
Smart rotor (actuators)
Lidar (sensors)
Wind farms (scale)
Floating (dynamics)Distributed
Feedforward
Nonlinear
System identification /estimation
Big data
Monitoring
Reliability of control technology and algorithms
TUD ApproachTUD approach: The development of efficient, easy to tune, data-driven algorithms for the synthesis/analysis
of robust controllers for innovative wind energy systems
Implementation
System
Model
Controller
Closed-loop, low SNR, nonlinear, expensive experiments, RHP zeros, etc
System identification:
Efficient algorithms available No efficient algorithms available
Mechatronics, Non-linear, strong periodic loads etc.
Smart rotor control:
Large scale, Navier-Stokes, Non-linear, etc.
Wind farm control
Wind farm control
Model (observer)Optimizer
PowerLoadFlow…
YawPitchTorqueRepos…
ParkFloris2D CFD3D CFD
GradientGame theoryLearning…
Wind farm control
Future: Reconfigurable floating wind farms with 2 bladed smart turbines controlled by data-driven algorithms
Picture taken from:http://www.offshorewind.biz/2013/07/24/dcns-and-nasswind-to-showcase-their-floating-wind-turbinein-tokyo-japan/
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