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Downloaded from orbit.dtu.dk on: Jun 15, 2021
Deformable trailing edge geometries and cyclic pitch controller
Buhl, Thomas; Andersen, Peter Bjørn
Published in:Proceedings (on CD-ROM)
Publication date:2008
Link back to DTU Orbit
Citation (APA):Buhl, T., & Andersen, P. B. (2008). Deformable trailing edge geometries and cyclic pitch controller. InProceedings (on CD-ROM) Sandia National Lab..
https://orbit.dtu.dk/en/publications/a26fa430-a2eb-4030-bd50-0d657141c514
Thomas Buhl Senior Scientist Risø-DTUPeter Bjørn Andersen Ph D Student Risø DTUPeter Bjørn Andersen Ph.D. Student Risø-DTU
IntroductionC t llControllerResultsConclusionConclusion
Introduction (1:8)
• 1958 Inaugurated. Purpose: Peaceful utilisation f lof nuclear energy
• 1976 Oil crises (1973) results in research in other Energy sourcesgy
• 1978 Research in Wind Energy starts• 1985 Political decision of not having nuclear
energy in Denmarkenergy in Denmark• 1994 State-owned enterprise• 2000 The last nuclear reactor is shut down2000 The last nuclear reactor is shut down• 2007 Merger with DTU, the Danish Institute for
Food and Veterinary Research, the Danish Institute for Fisheries Research the DanishInstitute for Fisheries Research, the Danish National Space Centre and the Danish Transport Research Institute
Introduction (2:8)Risø National LaboratoryA national laboratory under DTU
Risø total:900 employees
Wind Energy Dept.:120 employees
Systems Analysis Fuel cellsHydrogen storageHydrogen storagePV polymer cellsBio EnergyMaterials
Introduction (3:8)
Wind Energy Department
Educational P
International C ltiProgram Consulting
Wind Energy Test &Aeroelasticity Wind Turbines Wind EnergySystemsTest &
MeasurementsMeteorology
Introduction (4:8)
EllipSys (2D and 3D)EllipSys (2D and 3D)
HAWC2 (and HAWC)
HAWTOptHAWTOpt
HAWCStab (soon HAWCStab2)
Introduction (5:8)
Sensors and DTEG positions
Peter B. Andersen, Mac Gaunaa, Christian Bak, Helge Aa. MadsenFrederik Zahle, Joachim Heinz, Leonardo Bergami, Li Na, Andreas Fisher
DTEG P t ti
Introduction (6:8)DTEG Property assumptions:
10% of chord+/- 8 degree deflection possiblefrom +/ 8 to /+8 in simulated “dt” (=0 01s)from +/-8 to -/+8 in simulated dt (=0.01s)no effects of hysteresisno overshoot or other dynamicsmax ΔCL(α β=8deg) = 0 29max ΔCL(α,β=8deg) = 0.29min ΔCL(α,β=-8deg) = -0.29
Introduction (7:8)
Introduction (8:8)
IntroductionC t llControllerResultsConclusionConclusion
Controller (1:6)
Controller (2:6)An ”inverse”An inverse Theodorsen/Gaunaa model
Possibility to use running averages or reference AOA values. (The Kα factor)
Objective: level out ”stochastic” signal AOA / Vrel
Controller (3:6)
An elastic response model
Objective: level out “deterministic” signalMj (bl d )Mj (blade root moment)
Controller (4:6)
Pitch communication model
Obj ti DTEG dObjective: DTEG and blade pitch work together
Controller (5:6)
pitch servo modeled as a 2nd order system
max pitch rate: 8 degree/sec
Power controller model:
Omega filter to removeOmega filter to remove”free-free” oscillations
Controller (6:6)
Cyclic pitch controllerInvers Coleman transformationtransformation
Notch filter
PI on yaw and tilt
Coleman transformationColeman transformation
additional pitch angle outputoutput
IntroductionC t llControllerResultsConclusionConclusion
Results (1:6)
Results (1:6)
23%
67%
23%
@ 13 m/s
Results (1:6)
16%
23%53%
67%
23%
@ 20 m/s
@ 13 m/s
Results (2:6)
Results (3:6)
Results (4:6)
results (5:6)
results (6:6)
IntroductionC t llControllerResultsConclusionConclusion
ConclusionConclusion
-The flaps with a +/-8 degree angle range seem to be able to eliminate almost all of the 30 degree yaw error
-Controllers needs to be integrated to see full potential
- Power production should be a part of the p p
-Tuning of controllers is very time consuming
Future work…
A “real” turbine
Main shaft (fatigue)
Acoustic noise reductionPower production
Extreme directional change in wind directionPosition of DTEG
Dimension of DTEG
Blade flapwise, extreme (bending, buckling)
Main shaft (fatigue)Extreme wind conditions (gusts)
Hardware in the loop
Tilting moment Yaw misalignment
T ldi (f i )Yaw system (extreme)
Blade edgewise (fatigue)Offshore
Floating turbines
Hardware in the loop
Tower welding (fatigue)
Main bearing (fatigue)Lightning
Stand stillNegative wind shears
CFD Gear (fatigue)
IEC Load case Pitch regulation
Wind farm issues Monte Carlo simulationsCFD
Sensor delaySensor dynamics/hysteresis
Foundation (extreme)
IEC Load case
Stability
g
Emergency shut down
Two bladed turbine
ySignal noise