Simulation and Research Services Division Patuxent River, Maryland Roger Burton Program Manager
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Transcript of Simulation and Research Services Division Patuxent River, Maryland Roger Burton Program Manager
Simulation and Research Services DivisionPatuxent River, Maryland
Roger BurtonProgram Manager
MEETING No. 99AEROSPACE CONTROL AND GUIDANCE SYSTEMS COMMITTEE
Millennium Harvest HouseBoulder, CO.
Feb 28 – Mar 2, 2007
History
• Supporting the Navy at Patuxent River since 1970’s as Systems Control Technology- Acquired by SAIC in 1994
• Local Office opened in 1983• Air Vehicle Support (AVS) Contract
(AFTTECH) since 1983. – We are the aero & controls SMEs for Pax
Technical Capabilities
• Flight Simulator Development and Acceptance• Simulation/Stimulation technology
– Real-time and physics based modeling– Hardware and software
• Flight Test Support– Planning– Execution– Analysis-Specializing in Systems Identification
• Modern Controls/Optimization– UAV Control Systems– Control analysis– IV&V– Specification Compliance– Handling qualities
V-22 High Fidelity Simulator M2DART Platform
Roll In/ Roll Out Capability 6 Degree Of Freedom Motion Platform
MANNED FLIGHT SIMULATOR
Present/Past Projects at NAWCAD
• Simulation Support (F-18, V-22, S-3, C-130, AH-1W)• Blade Element Modeling (AH-1W, CH-53, UH-1N, CH-47F,
SH-60R/S )• Trainer Model Development (AH-1W, F-14A/B, CH-53E, UH-
1N, C-130H2/T, CH-47F, SH-60R)• Flight Control Hardware Support (SAFCS, S-3, V-22, F-18,
EA-6B)• UAV Support (SAIC Fixed and R/W a/c, Hunter and Pioneer)• Handling Qualities Expert System Development• Flight Control IV&V• Systems Identification• Simulation Mechanical Design• Flight Test Support
Special Instrumentation Systems SIMES
1000 Hz Operation
High PerformanceData Acquisition
H/W Anti-aliasing
AnalogDigital and Video
Processing
Provided as product or a service to our customers
• SIMES is an instrumentation system specifically designed to measure simulator cueing systems and their fidelity.
• Measures bandwidth, transient performance, and time delays as well as compares predicted results to actual results for fidelity analysis.
• Motion system, cockpit controls and visual system
Special Purpose Analysis Systems IDEAS
• IDEAS - Integrated Data Evaluation and Analysis System– A “High-End” Data Analysis and Simulation Tool– Expert System IDEAS
Integrated Data Evaluationand Analysis System
Data Archiving
Wild-Point Editing
Kinematic Consistency Analysis
Data Processing and Reconstruction
Equation Error, Output Error,and Filter Error System
Identification
Statistical and Math Routines
User Developed Routines
Data Display and Plot Utilities
On-line Help Utilities
Flight Test Data
Intuitive X-Window Motif User Interface
Electronic Archive
C lp
Math Model Improvement
Interface to MATLAB,
CIFER and other
analysis tools
IDEAS - System Identification and Model Fidelity
Instrumentation System
x = F x + G u + L w y = H x + B u + b
Aircraft
Gust
CMDInput (u)
Measured Parameters
Test Vehicle
.
y - ys
Estimatesof System
Parameters
Iterative Process
SimulatedInstrumentation
SystemSimulated Aircraft
Gust
Simulated System
xs = Fs xs + Gs us + Ls wsys = Hs xs + Bs us + bs
.
Simulated Measured
Parameters
y
ys
System Identification Procedure
System Identification Optimization Algorithms
Current UAV Flight Test Program
Ground Tests
–Engine / Prop Gov Dynamics–TO / Landing
•Flying Qualities ITB
–Doublets–Freq Sweeps–Pitch Captures–Wheel / Pedal Bank to Bank–Static Stability
•High AOA
–Stalls
–WUTs
•Hinge Moment ITB
–Doublets
•Airborne Engine Tests
–Power Lever Bodes
–Level Flight Accel- Decel
Current Data Processing
Example Frequency SweepElevator Deflection
Current Data Processing
Our Specialty-Simulation Model Fidelity
Systems Identification
Parameter Identification
Flight Test
0 5 10 15 20 25 30 35 40 45 50 55
0.1
0.0
-0.1
-0.2
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-0.4
-0.5
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angle-of-attack (deg)
C lp(per rad)
Prev. PIDFlight
Analyze the FlightData
Update the SimulationModel
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DataAcquisition Simulate the
Flight Test
A Continuous Integrated
Process
IDEAS
SIMES
FCS Design and Development Cycle
Flight Test
GCS
Data Acquisition
Data archiving,analysis, reduction
Systems Identification
Equivalent system models
High-Fidelity Non-linear
Model
Control Law Development
Non-linear Control Law Implementation
Regression testing &
Acceptance
SWIL
HWILUpgraded
Control System
MATLAB/Simulink, Conduit, etc.IDEAS/CIFER
co l l
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T hrott le F eed -F o rw a rd C on trol
Flight Control Algorithms• Common architecture across all platforms• Layered control concept
N av ig a tio n & C o m m an d L im its
G u id an c e & E m er g en c y P r o c ed u r es
S tab ility au g m en ta tio n& E n v elo p e P r o tec t io n
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S en s o r s
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F lig h tP lanS tep
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lim its an d w ar n in g m es s ag es
Summary
• Heavy Simulation and Stimulation Support of NAWCAD, specializing in:– Physics based simulation modeling– Control system design and analysis– Flight test support
• Training simulator model development specialists –make the sim. fly like the a/c
• Systems developer for specialized simulation systems– SIMES -simulation instrumentation & testing– IDEAS – flight test and simulation analysis
• UAV Control Systems Development