Simulation and Research Services DivisionPatuxent River, Maryland

Roger BurtonProgram Manager

301-866-6715roger.a.burton@saic.com

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

-0.3

-0.4

-0.5

-0.6

angle-of-attack (deg)

C lp(per rad)

Prev. PIDFlight

Analyze the FlightData

Update the SimulationModel

10.9.8.7.6.5.4.3.2.1.0.

50.40.30.20.10.0. 0

- 10.- 20.- 30.- 40.- 50.

TIMEsolid - PID dashed - Prev. dot-dash - Flight

P

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

c1 z _ ou t 00 0

C o l le c t iv e C m din ch es + U PC on t ro l, C 1Z

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- -- - - - - - - - -- - - -(1 . 5 s +1 ) ( 0 . 05 s+1 )

B L O C K : 5 1

K ff d

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E quiv a le n t T o rqeuep ar a m et e r, G1 M

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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

K C ( s )

S en s o r s

Air c r af tK G ( s )K N ( s )

F lig h tP lanS tep

R em o teO p er a to r

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