Modeling and Control Challenges for Airbreathing Hypersonic Vehicles 2 Mar 2007 Dr. David B. Doman...
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Transcript of Modeling and Control Challenges for Airbreathing Hypersonic Vehicles 2 Mar 2007 Dr. David B. Doman...
Modeling and Control Challenges for Airbreathing Hypersonic
Vehicles
2 Mar 2007Dr. David B. Doman
Control Design and Analysis Branch Air Vehicles Directorate
Air Force Research Laboratory
SAE Aerospace Guidance & Control Committee Meeting
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
• Highly coupled airframe/propulsion system with aeroelastic interactions.
• Unstable and non-minimum phase • First-principles modeling approach
– Oblique Shock Theory– Prandtl-Meyer Expansion Theory– Quasi-1D flow with heat addition in
combustor– Spillage effects on inlet performance– Aeroelastic modeling – Plume shear layer modeling– Thermal effects on structure – Unsteady aerodynamic effects via nonlinear
piston theory• Advantages
– Flexibility to add/move control surfaces, change sensor locations
– A fundamental understanding of what is being controlled
2-D X-43A Profile Scaled to 100 ft
Scramjet Modeling and Control Overview
Animation
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
• Oblique Shock and Prandtl-Meyer Expansion Theory used to compute pressures over top, forebody and underbody of engine
• Approximation for plume shear layer location verified against panel solution
• Pressure over rear ramp computed from plume results
• Aerodynamic Forces and Moments computed by integrating pressures over each surface (including deformation due to bending)
• Inlet turning forces included
Aerodynamic Forces & MomentsAerodynamic Forces & Moments
c
g
f
xb
zb
1,U
hi
V
de
q1,L
2
V
e
M, P
M1, P1
Region 1
Region 2
M2, P2
Region 3
M3, P3
Region 5
M5, P5
Region 4
M4, P4
Aerodynamic Flow Regions
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Scramjet Modeling• Variable Geometry Diffuser
– Allows pressure at combustor inlet to be adjusted– Assumed to be isentropic
• Constant area combustor with simple heat addition– Heat addition/change in total temperature a function of equivalence ratio
• Fixed area ratio internal nozzle– Assumed to be isentropic
• Very easy for the combustor to become thermally choked!
• Euler-Bernoulli Beam Theory– Beam loading:
• Normal component of surface pressures changes with beam deflection
• Variable point load due to elevon• Heave and rotational effects included
• Deflection is a function of load• Load is a function of deflection• Modal analysis for beam dynamics• On/Off-design conditions modeled
– Shock on lip (no spillage)– Shock forward of lip (spillage)– Shock inside inlet (no spillage)
• Quasi-1D flow with heat addition in combustor associated with fuel flow
• First dynamic model to include nonlinear on/off design effects
• Captures interaction between aero, structure and propulsion system
Aeroelastic Influence on Propulsion System
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Refined Structural Model
• Model the effects of mass and temperature on the structural dynamics of a hypersonic aircraft
• Avoid FEM analysis of frequencies/mode shapes• Approximation of fuselage first bending mode
– Assume n = 18 rad/sec and = 0.02 when fully fueled
– Use assumed modes method to estimate mode shapes and frequencies
HSV Mission Analysis
• Mission: – 8000 n.mi. Cruise at Mach
10, 120 kft– Transition from rocket to
scramjet at Mach 5 during ascent
– Descent assumed to be unpowered
LH2: 40% of GTOW
LOX: 31% of GTOW
Assumed Modes Method
• Based on Lagrange’s Equations:
• The transverse displacement along the structure is given by a separation of the time and spatial coordinates
• The shape functions i(x) are the assumed modes.
• i(x) satisfy the geometric boundary conditions and possess all required derivatives
Choice of Assumed Modes• Basis functions are
uniform free-free beam mode shapes – Satisfies geometric
boundary conditions– Expected to be “close” to
real mode shapes• Requires fewer assumed
mode shapes for convergence
– Alternatively assessing viability of Chebyshev Polynomials as basis functions
Assumed Modes MethodMass Effects
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Plant CharacterisiticsHeating Effects
• Modulus of Elasticity a function of Temperature
– n= f(E1/2)
– Expect n to vary with T1/2
• 125 deg T predicts 3% change in frequency
• 2% change in first mode freq after 2 hrs
• No effect on aircraft controllability!
From Vosteen, NACA TR 4348
Assumed Modes MethodTemperature Effects
• Uniform Temperature Distribution along beam (1500 deg F)– Vehicle structure
modeled as a Ti “beam”– Only freqs affected by a
uniform T– Spatially varying
temperature will affect mode shapes
• Currently under study…
Aerothermal Modeling
• Sustained Flight at high Mach number requires TPS – Either “passive” or “active”
• Capture effects of heat transfer on the vehicle structural dynamics– Controllability considerations
• Structural Dynamics estimated using the Assumed Modes Method – Frequencies and Mode Shape dependency on vehicle mass and temperature
can be modelled• Modulus of Elasticity a function of temperature
• Thermal Protection System Architecture assumed
Aerothermal ModelingProblem Formulation
• “Three layer” model assumed– PM2000 honeycomb– SiO2 Insulation– Titanium Load Bearing Structure
• Explicit, finite difference method used to calculate unsteady heat transfer during cruise
• 1-D heat transfer only• Discrete Points along Structure
Considered– Boundary Conditions:
• Convective Heating• Radiative Cooling• nth node insulated
Ti Beam
Insulation
PM2000
Honeycomb
1st node
Problem FormulationSolution Method
• Once all the difference equations are obtained, they can be written in the form:
• A is a tri-diagonal matrix
– Convergence requires eigenvalues of A to lie in the unit circle
– Max allowable t given y & material properties
• b is a non-linear forcing term
– Without loss of generality, lump both radiative cooling and convective heating into this term as well
Aerothermal ModelingResults
• Case 1: Temp profile due to constant heating– Point 50 ft behind the nose – dq/dt = 15 BTU/(ft2 s)– Emissivity = 0.6– Radiation to a perfect black
body at T=0 deg R• Steady state reached for
outer TPS • Large T across insulation
layer• Minimal T in structure• Model matches ABACUS
predictions
PM2000
Ti Beam
SiO2
Aerothermal ModelingResults
Outer Layer
Structure
Plant CharacterisiticsHeating Effects
• Temperature Along Structure Determined
Leading Edge
Trailing Edge
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Piston Theory
Piston Theory:• Method for Calculating Aerodynamic Loads • Local Pressure from Body’s Motion Is Related to Local
Normal Component of Fluid Velocity• Same Way As Pressure and Velocity Are Related At Face of
Piston Moving in a 1-D Channel• Provides Expression for Time Varying Pressure as a Function
of Local Surface Velocity• Valid for M ≥ 4• Accurate Calculation
Of Pressures
Piston Theory - Basics
Basic Result From Linear Piston Theory
nVaPP
• Vn = Velocity of Surface Normal to Flow• Subscript ‘*’ Refers To Flow Conditions Past Surface, i.e., Behind Shock or
Expansion Fan or Freestream = density• a = speed of sound
• Isentropic “Simple Wave” Expression for Pressure on Surface of Moving Piston
1
2
n
a
V
2
11
P
P
• Binomial Expansion Gives
a
V1
P
P n
• Use Perfect Gas Law (P=RT) and Speed of Sound (a2=γRT) Yields
Basic Result
• P = Pressure• γ = Ratio of Specific
Heats
Piston Theory - Basics
• Infinitesimal Force Due To Pressure → dF = -P dA n
• F = force (normal/axial)• dA = surface element (unit depth into page)• n = outward pointing normal vector
c
g
f
1,U
hi
V
d e
1,L
2
V
e
h
nVaPP • From Basic Result, Need Vn
nVnVSubscript ‘*’ =• U (upper surface) • Lcd (lower surface cd) • Lgh (lower surface gh)• Lef (lower surface ef)• Infinitesimal Force Becomes
nnVF dAaPd
• Find dA*, n*, and V*
Stability Derivative Approximations for Unsteady Aerodynamic Effects
• Unsteady effects captured in the form of stability deriviatives
• CZα, CXα, CMα, CMQ, CZQ
wzefwzghwzcdwzcfwzwZ dddd
Sq
1d
Sq
1C
FFFFF
VwV
w1
V
wIf
3ef32ef2a12U,1n33fU,222U,111Z LALALAcosLaLcosaLcosa
Sq
VC
Structural mode stability derivatives are also included
Results• Poles of Linearized Model - Mach 8, H=85,000
Without Unsteady Effects
With Unsteady Effects
-1.5081.444-.0004759-5.15e-5 +- j0.0335
-2.4582.314-.00048-4.93e-5 +- j0.0335
More Unstable
Pole-Zero Map
Real Axis
Ima
gin
ary
Ax
is
-2 -1 0 1 2-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04
-2 -1.5 -1 -0.5 0 0.5 1 1.5-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04Pole-Zero Map
Real Axis
Ima
gin
ary
Ax
is
• Continued development of first principles model of scramjet vehicle
• Aero-thermo-servo-elasticity effects captured in multidisciplinary model suitable for control studies
• Unsteady Aero Modeling via Piston Theory:
• Accounts for Fluid-Structure Interaction as Vehicle Vibrates
• Used to Compute Damping and Flex-body stability derivatives
• Steady and Unsteady Aerodynamics in Model
• Significant shifts in pole-zero locations
• Heat transfer and thermal effects on structure modeled
Unsteady Aero Terms – Move Unstable Zero & Pole to Right in S-Plane – Affect Stability and Closed-Loop Bandwidth
-5 -4 -3 -2 -1 0 1 2 3 4 5-20
-15
-10
-5
0
5
10
15
20Pole-Zero Map
Real Axis
Imag
inar
y Ax
is
Unsteady
Steady
Effects of Unsteady Aerodynamics on Airbreathing Hypersonic Vehicle Dynamics
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Flexible Aircraft Equations-of-Motion
• Derived using Lagrange’s Equations:
• Kinetic Energy is the sum of rigid & elastic kinetic energies:
• Potential Energy is a superposition of the strain energy of the structure and the altitude potential energy
• Generalized forces:
• “Proportional Damping” on structure (2 n)
• Aerodynamic forces/moments and Thrust
• “Modal forces:”
Flexible Aircraft DynamicsNon-linear Equations-of-Motion
• Non-linear, longitudinal equations-of-motion:
• L, D, M, & Fn are functions of in (x) I
• Variable mass and frequency effects are captured
Plant Characteristics
• Unstable Rigid-body modes: s=-4.47, 4.41
• Very Slow (albeit stable) Altitude mode s=-0.001
• Unstable, very lightly damped phugoid (time to double = 3.6 hrs)
• Non-minimum phase transmission zeros for typical input/output combinations
• Controllable/Observable – Structural modes are the most
Controllable & Observable-10 -8 -6 -4 -2 0 2 4 6 8 10
-100
-80
-60
-40
-20
0
20
40
60
80
100
Pole-Zero Map
Real Axis
Imag
inar
y A
xis
y=[V ]T
u=[e ]T
• Goal: Elimination of Low Frequency Nonminimum Phase Behavior
• Large elevon contributes substantially to total lift
• Increasing forebody AOA requires short-term loss of lift at the elevon to create pitching moment
• Long-term effect-Increased Lift• Short-term effect-Decreased Lift• Canard added with interconnnect
gain to elevator greatly improves control law potential.
• Moves center of rotation from off-vehicle to near CG.
Configuration Changes for NMP Mitigation
Control of Unstable/NMP VehicleOutput Modification
• New controlled variable: flight path angle measured ahead of cg– p := azp/(U0 s)
• Accelerometer placed ahead of Instantaneous Center-of-Rotation
• Real Zeros of N(s)
bifurcate to complex conjugate pair in LHP
– Improved Tracking Performance since NMP behavior is eliminated
• Control Performance Limitations– Feedback control required (O.L unstable)– Low frequency non-minimum phase
behavior prevalent– Limited speed of response
• Dynamic Inversion with NMP coupling strategically ignored
• LQR & Classical Loop Shaping• Modified Dynamic Inversion
– Place poles at mirror image of NMP zeros– Result: Decoupled bank of integrators & all-
pass filters
Modified Dynamic Inversion Results
Control Approaches
Outline
• Background
• Modeling– Aerodynamics– Propulsion– Structural– Thermal– Unsteady Aerodynamics– Control Approaches
• Conclusions
Conclusions• First principles based model that captures coupling of aerodynamic,
structural, and propulsion systems– Mass flow spillage effects on thrust added
• Control of flexible hypersonic aircraft is a difficult problem, extreme coupling, nonlinearities, NMP behavior, unstable
• Low-frequency flexible mode < actuator bandwidth (20 rad/sec)– Possible interactions between structural dynamics and control
system• Non-minimum phase transmission zero due to location of center-of-
rotation limits controller bandwidth • Unsteady aero effects captured using piston theory in conjunction
with quasi-steady gas dynamics. • Unsteady aero appears to significantly affect pole-zero locations
Conclusions
• Model validation; comparisons to X-43 flight test data show aero-results are reasonable.
• Thermal and mass effects included in structural model– Frequencies Increase and Mode Shapes change with fuel
burn– Structural frequencies change due to aerodynamic heating
(lowered by 2-3%)• Future work:
– Improve scramjet model by integrating cycle code– Propulsion mode transition and low speed modeling– Viscous effects
Backup Slides
Assumed Modes MethodKinetic Energy
• The kinetic energy is
• Which can be written in vector-matrix form
• Where:
Assumed Modes MethodPotential Energy
• Similarly, the potential energy is:
• In vector-matrix form becomes:
• Where
Problem FormulationSurface Node
• At the surface, the energy balance is:
Which, after discretizing, becomes
Where:
pth Time step
Node index
Problem FormulationInterior Point Nodes
• For the interior points, the energy balance gives:
When discretized, this becomes:
Problem FormulationMaterial Intefaces
• Again compute the energy balance at the ith node:
Applying the following:
Gives:
• Euler-Bernoulli Beam Theory– Beam loading:
• Normal component of surface pressures changes with beam deflection
• Variable point load due to elevon• Heave and rotational effects included
• Deflection is a function of load• Load is a function of deflection• Modal analysis for beam dynamics• On/Off-design conditions modeled
– Shock on lip (no spillage)– Shock forward of lip (spillage)– Shock inside inlet (no spillage)
• Quasi-1D flow with heat addition in combustor associated with fuel flow
• First dynamic model to include nonlinear on/off design effects
• Captures interaction between aero, structure and propulsion system
Aeroelastic Influence on Propulsion System
• Dynamic model derived using Lagrangian method– Captured both heave and
rotational effects on structure– Captured on/off design effects
propulsion (use gas dynamics versus Newtonian flow)
– Include effects of uncommanded control rotation due to flexible structure
• Linearized Model reveals – Short Period – Phugoid modes– Height mode– Fore/aft first bending modes– Open-loop unstable– Non-minimum phase– Off-vehicle center of rotation
Nonlinear Longitudinal Equations of Motion
Nonlinear Model and Linearization Results
• Control Performance Limitations– Feedback control required (O.L unstable)– Low frequency non-minimum phase
behavior prevalent– Limited speed of response
• Dynamic Inversion with NMP coupling strategically ignored
• LQR & Classical Loop Shaping• Modified Dynamic Inversion
– Place poles at mirror image of NMP zeros– Result: Decoupled bank of integrators &
all-pass filters
Modified Dynamic Inversion Results
Control Approaches
Work-in-Progress– Include thermal effects on structure– Include unsteady aerodynamic
effects via nonlinear piston theory– Include higher order structural
modes– Lateral directional dynamics– Advanced control methodologies as
required
Current Status
Mode Shapes
ColdHot
“Aerothermoelasticity”
Unsteady Aero. Piston Theory
1
2
2
11
),(
a
v
p
txp n
Thermal Modeling and Implications for HSV Control
• Problem: Capture heat transfer effects on structural dynamics
– Structural Frequencies depend upon:• Vehicle mass
– Frequencies increase with decreasing mass
• Temperature of the underlying structure
– ~10% reduction in frequencies for a “hot” structure
– Temperature effects calculated using unsteady, heat transfer code
• Explicit Finite Difference Method– Ti Multiwall TPS Architecture w/
Aerodynamic heating function of flight condition
• Integrated with vehicle model– On-going research effort to quantify
heat transfer effects on vehicle controllability & required robustness of controllers
Aerodynamic Heating at cruise
Vehicle Configuration
c
g h
f
xb
zb
47’=Lf 20’=Ln 33’=La
L=100’
1,U=3
3.5=hi
V d
e
q1,L=6
14.4=2
V
s
e
Xcs
Zcs
'55x f '45x a
Outline
• Piston Theory
• Forces
• Flow Analysis
• Stability Derivatives
• Engine
• Simulation
• Conclusions
Assumed Modes MethodEigenproblem
• From Lagrange’s Equation:
• Assuming simple harmonic motion for the free-vibration of the structure, set
• The unknown is found from the eigenproblem
• The eigenvectors ui determines the mode shape of the structure from
Aerothermal ModelingTPS Model
• TPS consists of PM2000 Honeycomb Outer wall and SiO2 Insulation
• Structure (aircraft) idealized as a Titanium beam with varying mass and stiffness
Plant CharacteristicsA Word On Zeros
• Origin of NMP zero– Due to loss of lift on aircraft when elevator deflected to
pitch aircraft up• True for any tail controlled aircraft
– Position of zero a function of instantaneous center-of-rotation (for a rigid aircraft):
Field, E., Armor, J., Rossitto, K., and Mitchell, D., “Effects of Instantaneous Center of Rotation Location on Flying Qualities,” Proceedings of the AIAA Atmospheric Flight Mechanics Conference [CD-ROM], Aug. 5-8 2002, AIAA 2002-4799.
Plant CharacteristicsA Word On Zeros
• Modification of ICR will move the transmission zeros – Ideally, would like to apply a couple to the aircraft in
order to minimize the reduction in lift that is experienced when deflecting the elevator
• How do we accomplish this?– Augment HSV model with a canard
1. Choose the mean aero. chord2. Interconnect with elevator using a gain, k3. Deflect canard in opposite direction of elevator
• Redefine the ICR:– We can pick k, M c, and Z c to place the ICR where we
want and thus move the offending zero to a “better” location
– Optimal k exists that moves ICR to origin & zero to 1
Plant CharacteristicsA Word On Zeros
Plant CharacteristicsA Word On Zeros
• Effect of flexibility is to move zero back to the j axis– Incomplete cancellation of
lift– Exact details being worked
• Small perturbations in Z c can move zeros significantly
Surface Velocities
• Consider Small Perturbations From Steady Flight Condition at M in u,w, and q
• Velocity of Point on Upper Surface Due To Perturbations
cfU,11U,11cf kwsinViucosV rωV
k,i = Unit Vectors in X and Z directions
= Angular Rate Vectorjqω
cfr = Position Vector of Point on Upper Surface
c
g
f
1,U
hi
d e
1,L
2e
h
fa
fU,1cf
xxx
kxxtanix
r
kcosisin U,1U,1cf n
dxsec)1(tan1dx)1(dxtandx)1(dzdx)1(dA U,1U,122
U,12222
cf
• Integrate Differential Force
Incremental Forces
kZiXkcosisinsecxPFaaa cfcfU,1U,1U,1a1cf
kZiXkcosisinsecxPFfff cfcfU,1U,1U,1f1cf
kZiXkcosisinsecLPF cdcdL,1L,1L,1f2cd
kZiXkLPF ghghn3gh
Upper Surface
Lower Surfaces
• Control Surface (Elevator)• Modeled As Flat Plate Hinged at Midpt.• Le = Length of Elevator e = Elevator Deflection (+ trailing edge down)• xcs, zcs = x & z Position of Elevator Relative to CG
kZiXseckcosisincosLP
kZiXseckcosisincosLP
eUeUeeeee5eU
eLeLeeeee4eL
F
F
Afterbody• Flow On Afterbody Bounded By Vehicle Surface Shear Layer• Pef = Pressure on Afterbody• Pe = Pressure at Engine Exit• P = Freestream Pressure
c
g
f
1,U
hi
V
de
1,L
2
V
e
h
e
s
1PP
cosL
s1
P)s(P
e
2U,1
a
eef
*F. Chavez and D. Schmidt, “Analytical Aeropropulsive /Aeroelastic Hypersonic Vehicle Model with Dynamic Analysis,” JGCD, Vol. 17, No. 6, 1994.
ds)s(PF1s
0
efef
kZiXkcosisinP
Pln
PPcos
PPLefef2U,12U,1
e
e2U,1
eaef
F
Afterbody, cont.
• For Stability Derivatives Need Force on Rear Ramp Due To Perturbations
efefefefefefefef dAaPd nnVF
aaa
efU,1a2U,1ef
xLxx
krixktanLxxtanixz
r
kcosisin 2U,12U,1ef n
dxsecdA 2U,1ef
efef2U,12U,1efefefefef dAcosqxwsinqruaPdz
nF
Unsteady Portion Used To Compute Contributions to Stab. Der.
Flow Analysis, cont.
Let Bowshock angle be denoted by
bowshockbowshock
Shock forward of pt. g Shock on lip or inside engine inlet
Expansion Fan
Flow Behind ObliqueShock from cd Used As I.C.
Wedge Angle = Freestream I.C
L,1
α < 0 Expansion Fan
Wedge Angle = α
α > 0 Shock
Rigid Body Moments
- +
Sign Convention U,12
2f1
cf tan12
xPM
f
2
xP
2
xxtanxPM
2a
1a
fU,12
a1cfa
2
LxLP
2
tanLtanLPM f
ff2L,1f
L,1f2cd
2L,1Fefnffef2L,1FefL,1fefef cosxLLxZsinxtanLXM
+
-
0sinxtanL 2U,1FefL,1f
0sinxtanL 2U,1FefL,1f
2
LLxLPM n
ffn3gh
csee5csee5eU xcosLPzsinLPM
csee4csee4eL xcosLPzsinLPM
Outline
• Piston Theory• Forces• Flow Analysis• Stability
Derivatives• Engine• Simulation• Conclusions
Scramjet Engine
A1 A2 A3 Me, PeMein , Pein
T0
Diffuser Combustor Internal Nozzle
1
2D
A
AA 23 AA
3
eN
A
AA
• Working Fluid – perfect gas, constant specific heats
• Two Controls – Diffuser Area Ratio, Ad and Temperature Addition in Combustor, To
Engine
• Engine Inlet Conditions – Flow Turned Parallel to Surface cd
nd
e
L,1222z
nd
e
L,1222x AA
bA
sinPMFAAb
A
cos1PMFinletinlet
• Force Acts At: L,1fffinlet tanLLx r
• Turning Force Moment inletinlet zffxL,1finlet FLxFtanLM
• Engine Thrust
ND
e
2e
eeo AAb
A
ppbAppVVmT
T2
htanLM i
L,1fengine
• Engine Moment
Engine Thrust and Moment
inletaf z0
Z0
ZeUeLefghcdcfcftotal Fqq
q
C
V2
cSqCSqZZZZZZZZ
inletaf x0
XeUeLefghcdcfcftotal F
CSqXXXXXXXX
engineinlet0M
0M
eUeLefghcdcfcftotal MMqqq
C
V2
cSqCcSqMMMMMMMM
af
• Total Forces and Moments
Mass Flow/Capture Area
c
g h
f
xb
zb
1,U
hi
V
d e
q1,L
2
V
e
Shock
A1
A0
As
0o ART
MPm
cd
cd
cdiL,1fff0 sin
cos
cothtanLL2LA
Outline
• Piston Theory
• Forces
• Flow Analysis
• Stability Derivatives
• Engine
• Simulation
• Conclusions
Stability Derivatives – Rear Ramp
• Stab. Der. Functions of density and speed of sound (Not Constant on Rear Ramp)
• Let Temperature on Rear Ramp Be Similar To Pressure, i.e.,
1T
T
cosL
s1
T)s(T
e
2U,1
a
eef
• Thenef
efefefef RT
PRTa No Closed Form Solution
• Instead, Let eaa
a
eef
eaaa
eef
xLxL
axLxL
aaa
Plant CharacterisiticsHeating Effects
• Two hour cruise @ 85000 ft, 2000 psf (~=Mach 8)
• Compression due to oblique shock over a 3 deg ramp– Mass changes neglected
• Convective heating due to hypersonic flow– Eckert’s reference Temp.
Method– Turbulent boundary layer
assumed• Radiative cooling occurs (same
as before)• Net Heating determined at
discrete points along structure
Convective heating:
Recovery Factor:
Reference Temperature:
The local Heat Transfer Coefficient is
found from:
HSV Geometry
• Capture area function of Mach and – Mass flow spillage effects included in thrust computation
• Motivation for using oblique shock and expansion theory• Elevator modeled as a flat plate hinged at mid-chord
– “all-moving” elevator• Inlet turning force included in total aero force calculation
Reflected Shock
Aircraft has “Unit depthinto paper”
Spill Flow
Piston Theory Conclusions
• Hypersonic Vehicles:• Highly Flexible – Long and Slender• Integrated Airframe/Propulsion • Airframe Provides External Compression/Expansion
• Piston Theory:• Used to Calculate Aerodynamic Loads • Local Pressure from Body’s Motion Is Related to Local Normal Component
of Fluid Velocity• Same Way As Pressure and Velocity Are Related At Face of Piston Moving
in a 1-D Channel• Provides Expression for Time Varying Pressure as a Function of Local
Surface Velocity• Unsteady Effects Appear Significant
Flow Analysis
Determine Properties of Flow
Upper Surface:
U,1
U,1
U,1
Freestream
Expansion Fan
Compression (Shock)
Lower Surface cd:
Engine Constraint
L,1
L,1 Compression (Shock)
Lower Surface gh: Find angle at which shock exactly impinges on point g of engine nacelle
f
L,1fi1
bowshock L
tanLhtan
Rigid Body Forces and Moments
c
g h
f
xb
zb
1,U
hi
V d
e
q1,L
2
V
e
FUf
FUa
FeU
FeL
Fa
Flgh
Flcd
mg
Control Approaches
• Approximate Feedback Linearization– Team Lead: Prof Andrea
Serrani
– Controls Oriented Model Developed from AFRL Model
• Analytically intractable otherwise
– Neglect elevator contribution to lift in the inversion (a la Sastry)
• Otherwise zero dynamics are unstable
• Ongoing research by CCCS Team to apply robust non-linear and adaptive control methods to the HSV model