load control in highly-deforming aeroelastic systems · load control in highly-deforming...
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Load Control in Highly-Deforming Aeroelastic Systems
Rafael PalaciosDepartment of Aeronautics
http://www.imperial.ac.uk/aeroelastics
Seminar at Vibration UTC, MED30 April 2014
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Load Control and Aeroelastics: Research Topics
Computational methods for FSI
Load control in large wind turbines
Dynamics & control of flexible aircraft
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Load Control - Overview
Motivation: ever more efficient airframes perpetual flight
Approach: A framework for Simulation of High-Aspect Ratio Planeso Aeroelasticity with large-displacementso Coupling with flight dynamics
Model reduction and control
Examples:o Dynamic stability of very flexible aircrafto Gust alleviation strategies wake encounter
o On-going work
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Quick Quiz
Q: What do this companies have in common?A: They all announced a solar-powered aircraft project in April 2014
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The challenge of very high efficiency
Extreme efficiency: Solar-powered planes for perpetual flight
QinetiQ Zephyr 7 Span: 22.5 m Weight: 53 kg Flight altitude: 60,000 ft Payload: 2.5 kg Power: Solar panels
Li-S batteries
Solar Impulse 2
see movie
http://www.youtube.com/watch?v=2GbIjALFSP4
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B787 (www.aviationweek.com
Large (and flexible) wings on transport aircraft
Who is not interested in higher efficiency?
[source:USPTO]
NASA X-56A
Boeing SUGAR Volt
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The Great Flight Diagram*
Wei
gh
t
Wing loading
Conventional aircraft
Solar-powered
Birds
*Noth (2006). Design of Solar Powered Airplanes for Continuous Flight, PhD thesis, ETH
Power management:
The challenge of very high efficiency
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Modelling of (very) flexible aircraft dynamics
Some major modelling challenges:
1. Design for jig shape
2. Validity of linear methods even more restricted in flight envelope (e.g., gust loads)
3. Blurred boundaries between aeroelasticity, flight dynamics, and control
Our objective:
Apparent stiffness by means of dynamic load control systems
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Modelling of (very) flexible aircraft dynamics
FLUID MECHANICS
STRUCTURAL MECHANICS
RIGID-BODYDYNAMICS
Flight MechanicsAeroelasticity
Flexible Body Dynamics
CONTROL
Flow Control
Vibrationsuppression
Navigation
...and this is geometrically nonlinear
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Modelling of (very) flexible aircraft dynamics
Drela (1999): ASWing Nonlinear beams Unsteady lifting line PID control
Patil (1999) & Cesnik (2002) Nonlinear composite beams Unsteady thin aerofoil LQG control
von Flotow (1989): Daedalus Linear beams Unsteady thin aerofoil No controls
(Patil & Hodges, 2006)Wang (2010) Nonlinear beams Unstedy Vortex Lattice No controls
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Overview
Motivation: ever more efficient airframes perpetual flight
Approach: A framework for Simulation of High-Aspect Ratio Planeso Aeroelasticity with large-displacementso Coupling with flight dynamics
Model reduction and control
Examples:o Dynamic stability of very flexible aircrafto Gust alleviation strategies wake encounter
o On-going work
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Flexible Aircraft Dynamics Simulation (SHARP)
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SHARP: Structural Dynamics
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SHARP.Cells: Homogenisation of periodic structures*
*Dizyetal. Homogenizationofslenderperiodiccompositestructures,IJSS50(2013)
http://dx.doi.org/10.1016/j.ijsolstr.2013.01.017
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Condensation of large FE models*
Stiffness model Lumped mass model
Tree of master nodes (ASET) along wings, fuselage, etc.
Lumped masses
3-D FEM
Guyan reduction
Nodal displacements/ rotations
Modal basis Modal velocities and internal forces
Identify coefficients in nonlinear modal EoM
Modal Intrinsic
In modal coordinates
Back to 3-D through Guyan transformation
Solve 1-D nonlinear
*Wangetal. AMethodforNormalModeBasedModelReductioninNonlinearStructuralDynamics, underreview
= q q + L(q)q + Q( ) 0a a aj + =2j M K
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SHARP.Beams: Geometrically-nonlinear composite beams
Rigid-body DoF Structural DoF
aR = at FE nodesa
a
v
=
Nonlinear equations of motion
Propagation of body-attached FoR
( ) ( ) ( ) ( ), , , , ,gyr stif extM Q Q Q
+ + =
0 0 0 0
0( ) ( ) ( ) =gyr stiff ext, Q
+ +
M C K
Linearized equations
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SHARP.Beams: Geometrically-nonlinear composite beams
*Hesse,Palacios.Consistentstructurallinearizationinflexiblebodydynamicswithlargerigidbodymotion, Comp&Struct 110(2012)
(Simo et al, 1988)
Free-flying flexible beam in vacuum (no gravity)*
http://dx.doi.org/10.1016/j.compstruc.2012.05.011
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Flexible Vehicle Structural Dynamics
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Adding the unsteady aerodynamics
Structure to Aerodynamics Aerodynamics to structure
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Unsteady Vortex Lattice Method (UVLM)
Vortex-ring discretization (Katz & Plotkin, 2001) Potential flow, thin wing Low speed flight, attached flow 3-D, unsteady, free-wake, interference, large (but slow) displacements
Propagation step:
Output step*:
( )
( ),
st
kunst k ct
=
=
F U l
F U l
*Simpsonetal.InducedDragCalculationsintheUnsteadyVortexLatticeMethod, AIAAJournal61 (2013)see movie
http://dx.doi.org/10.2514/1.J052136https://workspace.imperial.ac.uk/aeroelastics/Public/ppt/GolandFlutter.mpg
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Monolithic Coupling (linear problem)
Discrete-time state-space formulation* Linearization around given configuration (usually trim) Frozen geometry assumption Prescribed wake
*Muruaetal. Applicationsoftheunsteadyvortexlatticemethodinaircraftaeroelasticityandflightdynamics JPAS55(2012)
http://dx.doi.org/10.1016/j.paerosci.2012.06.001http://dx.doi.org/10.1016/j.paerosci.2012.06.001
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Flexible aircraft dynamics (linear/nonlinear)
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Flexible aircraft dynamics (linear/nonlinear)
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Stability of very light HALE UAV*
Flexible main wing Rigid fuselage and T-tail Total mass: 75.4kg 20km altitude
*Hesseetal.(2014)ConsistentStructuralLinearizationinFlexibleAircraftDynamicswithLargeRigidBodyMotion,AIAAJournal
HALE model characteristics (Patil, 2001)
Aspect ratio 16
Elastic axis (from le) 50 %
Center of gravity (from le) 50 %
Mass per unit length 0.75 kg/m
Torsional rigidity 1104 Nm2
Bending rigidity 2104 Nm2
Trim at V=30m/s
: stiffness parameter
https://spiral.imperial.ac.uk:8443/handle/10044/1/11697
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Stability analysis of full aircraft
Phugoid Short period SpiralRigid -0.0110.27i -4.531.67i -0.064
Flexible -0.00440.30i -2.181.57i -0.088
LINEARIZEDISCRETE-TIMESYSTEM MATRIX
TRIM AIRCRAFT(Nonlinear)
EIGENVALUE ANALYSIS
V=30m/s =2
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Dynamic stability vs. stiffness
Dynamic stability directly from physical degrees of freedom
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Closing the loop
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Closing the loop
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Linear subsystem
Dynamic aeroelasticity of manoeuvring aircraft
FLEXIBLE-BODYDYNAMICS
AERODYNAMICS
1n n n nS A A
n T nA
A B u B u
y C
+ = + +
= Ay
Au
u
( ) ( ) ( ) ( )0 0 0, , , , ,0T T T T
ext
q q qM C K Q q q
+ + =
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Dynamic aeroelasticity of manoeuvring aircraft*
Small number of inputs and outputs (structural modes + rigid body) Model reduction through balanced truncation
o Balance aerodynamic states using controllability/observability Gramianso Truncate least controllable and observable states
AERODYNAMICS
Ay
Au
u
1n n n nS A A
n T nA
A B u B u
y C
+ = + +
=
1 1 1 1n n n nB B S A An T nA B
T AT T B u T B u
y CT
+ = + +
=
BT =
B
AERO-DYNAMICS
*Hesseetal.ReducedOrderAeroelasticModelsfortheDynamicsofManeuveringFlexibleAircraft,AIAAJournal(2014)
http://dx.doi.org/10.2514/1.J052684
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Load Alleviation for a HALE UAV
Composite beam
Nonlinear Trim
Dynamic Stability
Linear Plant
Loads Plant
Linear ROM
Loads ROM
Load Simulation
HinfSynthesis
Load Alleviation
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Wake Vortex Encounters (WVE)
Kier, T, 2011. An integrated loads analysis model including unsteady aerodynamic effects for position and attitude dependent gust fields. IFASD 2011.
Generating wake modelled following Kier (2011)
Wake vortices modelled as vortex filaments from
bG= 50 m, WG=2800 kg, VG= 8 m/s
Biot-Savart Law and exponential decay around
viscous core radius
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Are wake encounters important?
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Open-Loop results*
*HesseandPalacios.DynamicLoadAlleviationinWakeVortexEncounters,underreview
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Hybrid control for load alleviation
aileron Sflap S
elevator P elevator S
flap Paileron P
bending strains S
Linear ROM for control synthesis (50 states)
H controller
Robustness vs. performance (actuator constraints
not in the model)
Control surface inputs to root bending strain
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Hybrid control for load alleviation
Load envelopes for open and close loop responses
Effective approach for load alleviation less structure less weight
Right wingLeft wing
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Towards Predictive Control
1-cos gust on cantilever wing Control via trailing edge flap MPC vs. LQR with same weights
Roo
t to
rsio
nR
oot
ben
din
g
timetime
Flap
def
lect
ion
*Simpson et al. (2014). Predictive Control for Alleviation of Gust Loads on Very Flexible Aircraft. AIAA SciTech, Washington, DC
see movie
http://hdl.handle.net/10044/1/12917https://workspace.imperial.ac.uk/aeroelastics/Public/ppt/GolandMPC.avi
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Applications to wind energy*
*Ngetal.(2014)EfficientAeroservoelasticModelingfortheControlofTrailingEdgeFlapsonWindTurbines,UKACC
NREL 5-MW test case in storm (gusty wind and waves) Flaps actuated to reduce blade loads
see moviesee movie
https://workspace.imperial.ac.uk/aeroelastics/Public/ppt/WT_float1b.gifhttps://workspace.imperial.ac.uk/aeroelastics/Public/ppt/WT_float3b.gif
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Conclusions
Physics-based state-space realizations of 3-D aeroelasticity with potential-flow unsteady aerodynamics
Coupling of rigid-body, structural, unsteady aerodynamics, and control system. Monolithic approach.
integration of load alleviation strategies in Flight Control System
Demonstration on Wake Encounter Loads
On-going work:o Coupling with RANS (no longer monolithic!)o MPC implementation for simultaneous flight & load control
Load Control in Highly-Deforming Aeroelastic SystemsLoad Control and Aeroelastics: Research TopicsLoad Control - OverviewQuick QuizThe challenge of very high efficiencyLarge (and flexible) wings on transport aircraftThe challenge of very high efficiencyModelling of (very) flexible aircraft dynamicsModelling of (very) flexible aircraft dynamicsModelling of (very) flexible aircraft dynamicsOverviewFlexible Aircraft Dynamics Simulation (SHARP)SHARP: Structural DynamicsSHARP.Cells: Homogenisation of periodic structures*Condensation of large FE models*SHARP.Beams: Geometrically-nonlinear composite beamsSHARP.Beams: Geometrically-nonlinear composite beamsFlexible Vehicle Structural DynamicsAdding the unsteady aerodynamicsUnsteady Vortex Lattice Method (UVLM)Monolithic Coupling (linear problem)Flexible aircraft dynamics (linear/nonlinear)Flexible aircraft dynamics (linear/nonlinear)Stability of very light HALE UAV*Stability analysis of full aircraftDynamic stability vs. stiffnessClosing the loopClosing the loopDynamic aeroelasticity of manoeuvring aircraftDynamic aeroelasticity of manoeuvring aircraft*Load Alleviation for a HALE UAVWake Vortex Encounters (WVE)Are wake encounters important?Open-Loop results*Hybrid control for load alleviationHybrid control for load alleviationTowards Predictive ControlApplications to wind energy*Conclusions