AERODYNAMICS SYSTEM IDENTIFICATION · Aerodynamics system identification offers a practical...
Transcript of AERODYNAMICS SYSTEM IDENTIFICATION · Aerodynamics system identification offers a practical...
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AERODYNAMICS SYSTEM IDENTIFICATION
Charles R. O’Neill
School of Mechanical and Aerospace Engineering
Oklahoma State University
23rd Oklahoma AIAA/ASMA Symposium
8 March 2003
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Fluid Structure Interactions
Will it break?
How can I control it?
Two Critical Questions for the Design Engineer:
These questions reduce to one Fundamental Question:
How can I predict the system's response?
A single unstable system can result from two
normally well behaved and stable systems.
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Aero Servo Elasticity
Structure
Aerodynamics
Controls
Aeroelasticity
Aeroservoelasticity
Combine:
Aerodynamic Forces
Structural Responses
Control Algorithms
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STRUCTURAL MODEL
Free Vibration with a forcing function
6 Mode Plate Example:
[ ] [ ] [ ] FqKqCqM =++ &&&
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Aerodynamics Model
AERODYNAMICS MODEL
Conceptual Aerodynamics Function
)()( nn xxxxcffff +++++=++++ L&&&&&&L
[ ] ( ) [ ]∑∑−
==
−+−=1
01
)()(nb
i
i
na
i
i ikqBikfAkf
Internal Response Input Response
An input/output relationship is needed.
One possible solution is an ARMA model.
Describes how currentforces depend on pastforces.
Describes how currentforces depend on theinput history.
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TRAINING THE AERODYNAMICS MODEL
The training signal must excite the dominate aerodynamics
while remaining within the limitations of discrete time.
0 0.5 1 1.5 2 2.5 3 3.50
0.005
0.01
0 0.5 1 1.5 2 2.5 3 3.50.1
0.05
0
0.05
0.1
0 0.5 1 1.5 2 2.5 3 3.52
1
0
1
2
Displacement
Velocity
Aerodynamic
Force
Choose an analytic function with a linear frequency sweep
and an envelope decay.
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COMBINED AEROSTRUCTURE MODEL
Discrete time state space form
[ ] [ ]
[ ]
=
+
+
+=
+
+ ∞∞∞
)(
)(0)(
00)(
)(
)1(
)1(0
kx
kxCkq
fHq
fH
kx
kx
GCH
CHqCDHqG
kx
kx
a
s
s
s
I
s
a
s
asa
assass
a
s
This coupled form is sufficient for determining free
response characteristics.
OR
+ ∞∞
asa
assass
GCH
CHqCDHqG
Retrieve the plant matrix from above and evaluate
the eigenvalues.
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AGARD 445.6 TESTCASE
Root
Tip
V 45 degree sweep
Aspect Ratio of 2
60% taper ratio
NACA 65A004
Two Mode Structural Model
First Bending Mode
9.6 Hertz
First Torsional Mode
38.2 Hertz
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STABILITY BOUNDARY
The stability boundary for the system model matches
the CFD free response boundary.
0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Mach Number
Dynamic Pressure [psi]
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SENSITIVITY STUDIES
Model Order Sensitivity
The eigenvalues corresponding to the first two
structural modes are plotted for ARMA model
orders: 1-5, 2-5, 5-10, 20-50
Eigenvalues in z-plane at Mach 0.499
Unit Circle, |z|=1
Mode 2
Mode 1
Increasing
Density
Increasing
Density
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SENSITIVITY STUDIES
Structural Damping Sensitivity
ζ = 0% 1% 2% 4% 8% 16%
The eigenvalues corresponding to Mach 0.499
and Mach 1.072 are plotted for damping ratios
of:
Mach 0.499 Mach 1.072
0 2 4 6 8 10 12 14 160.7
0.75
0.8
0.85
0.9
0.95
1
1.05
1.1
Damping Ratio %
Stability Boundary [psi]
Mach 0.499
Mach 1.072
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SENSITIVITY STUDIES
Mach Number Sensitivity:
Plotting the eigenvalues for a range of Mach
numbers shows that aerodynamic damping
in mode 1 causes the transonic stability boundary
dip.
|z|=1
1.141 1.0720.499
0.6780.900
0.960
Density Sweep of Eigenvalues at each Mach #
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SENSITIVITY STUDIES
Structural Sensitivity:
Change the free vibration frequencies by +10% and -10%
and plot the stability boundary.
0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Mach Number
Dynamic Pressure [psi]+10%
-10%
As-Is
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SUMMARY
Aerodynamics system identification offers
a practical solution to aeroservoelastic stability,
control and design.
System identification allows for comparisons
and discoveries that are not tractable in the
time domain.
System identification techniques offer powerful
tools to quantify and understand actual experimental
uncertainties.