Feedback Driven 6-DoF Modeling of a Tilt-Duct Aircraft STAR Global - - PowerPoint PPT Presentation

feedback driven 6 dof modeling of a tilt duct aircraft
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Feedback Driven 6-DoF Modeling of a Tilt-Duct Aircraft STAR Global - - PowerPoint PPT Presentation

Feedback Driven 6-DoF Modeling of a Tilt-Duct Aircraft STAR Global Forum May 12, 2010 Paul Vasilescu AD-150 High Speed VTOL UAV - Designed around USMC Tier III requirements (Now Group IV) - VTOL from air capable ships - Exceed 200 kts airspeed


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Feedback Driven 6-DoF Modeling of a Tilt-Duct Aircraft

STAR Global Forum May 12, 2010

Paul Vasilescu

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AD-150 High Speed VTOL UAV

  • Designed around USMC Tier III

requirements (Now Group IV)

  • VTOL from air capable ships
  • Exceed 200 kts airspeed

Length 14.5 ft Wing Span 17.5 ft Height 4.75 ft Takeoff Weight 2,200 lbs - 2,800 lbs Max Payload 500 lbs - 1,000 lbs Max Speed 300 kts Max Range 736 Nmi

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Our Business Model

Create a multi-mission, economical, high-speed VTOL UAV to fill a market void

Team with industry leaders for payload, subsystem and contracting support

Secure production contracts for airframes and lift and propulsion systems

Designed & Manufactured by ADFS in Jessup, MD Designed by ADFS, Manufactured by ADFS and/or Subcontractors Designed & Manufactured by Subcontractors

Turboshaft Powerplant HTAL System Drive System Main Landing Gear Vectoring Nozzle Flight Control Actuators Flaperon Ruddervator Mission Payload Avionics Navigation & Control Power Management Nose Landing Gear HTAL Nacelle Airframe HTAL Fan

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AD-150 Development Timeline

2006 2007 2008 2009 2010 2011

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Tilt-Duct VTOL ~ Key Challenges

Transition between hover and forward flight

Dynamic conditions

Large pitching moments

Potential duct stall

Low control authority

Static / steady state limitations

Transient 6-DoF solution A full understanding of flight conditions experienced in transition requires a comprehensive transient simulation

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6 Use is limited to Proprietary Restriction on the cover 6

AD-150 6-DoF CFD Model

Create a robust 6-DoF CFD simulation to accurately model transition between hover and forward flight

Support changes in geometric configuration between time steps

Duct angle relative to the fuselage

Angle-of-Attack

Support basic autopilot user code

Run on top of the simulation

Read inertial data at each time step

Implement geometric and power changes

Must be accurate but also feasible

Split the propulsion model from the aircraft model

Verify data using multiple CFD methods

Validate CFD models with experimental tests

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7 Use is limited to Proprietary Restriction on the cover 7

Steady State Propulsion Model

Star-CCM+ steady state segregated flow model with moving reference frame

Automated workflow solved every case in the test matrix

Test matrix includes variations

Duct Angle

Feestream Velocity

Fan RPM

Measured data includes

6 Component Forces and Moments

Fan Torque

Airflow Velocity (above and below fan disk)

Data was fit to mathematical curves to enable integration into any flight condition modeled by the unsteady model

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8 Use is limited to Proprietary Restriction on the cover 8

Aircraft 6-DoF Model

Star-CCM+ unsteady 6-DoF

Nacelles modeled in cylindrical volumes

Enables rotation of the ducts without remeshing

In-place interfaces used between all volumes

Boundary conditions replace rotating fans

Computed dynamically for each time step based on data from the propulsion system CFD

Validated by comparing 6 component forces and moments of both models

Angle-of-Attack changes are achieved by rotating all volumes about the aircraft’s CG

Basic autopilot code sets power, duct angle, and angle-of-attack at each time step

Initial runs enabled translation in all directions and rotation in the yaw axis

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9 Use is limited to Proprietary Restriction on the cover 9

Feedback Driven CFD 6-DoF Workflow

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10 Use is limited to Proprietary Restriction on the cover 10

AD-150 6-DoF Initial Cases

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11 Use is limited to Proprietary Restriction on the cover 11

AD-150 CFD 6-DoF Team

Qlogic NETrack Development Center (NDC)

Test drive HPC systems

16 Dell PowerEdge R610 Compute Nodes w/ Qlogic TrueScale InfiniBand

128 Total CPU Cores and 384 GB RAM

Performance Improvement

Reduced 3000 hours of compute time to 48 hours for the stead state propulsion simulation test matrix

Reduced 93.4 hours of compute time per second of flight time of the unsteady / transient aircraft simulation to 2.4 hours of compute time per second of flight time

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Experimental Validation Aircraft Wind Tunnel Test

 Built and tested a 1/3 scale model of the

AD-150 aircraft

 Tests conducted at the Glen L. Martin Wind

Tunnel in Q1 2009

 Performed static and dynamic tests over a wide

range of combinations of angle of attack, sideslip and forward speed

 Confirmed CFD performance data and

validated airframe design

 Funding provided by the state of Maryland

through the Maryland Industrial Partnerships program (MIPS)

“The American Dynamics Flight Systems team came to the wind tunnel test with a more complete set of CFD results directly comparable to the tunnel conditions than any other group we have worked with up to now.” -- Dr. Jewel Barlow, Director of the Glenn L. Martin Wind Tunnel

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Experimental Validation Propulsion Wind Tunnel Test

 Build an test a scaled AD-150 propulsion

system in a wind tunnel

 Simulate conditions experienced during

transition between hover and forward flight

 Test will be conducted and the UMD Glenn L.

Martin Wind

 Tests will include variances in freestream

velocity, fan velocity, and duct angle

 Measurements will be taken and compared

to equivalent data taken from the computational models

 Funding provided by the state of Maryland

through the Maryland Industrial Partnerships program (MIPS)

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Experimental Validation Propulsion Static Test

 Build and integrate a fully instrumented test rig

for the AD-150 lift and propulsion system

 Tests to be conducted at Aberdeen Proving

Grounds later this year

 Mechanically validate propulsion and drive

components

 Confirm CFD performance data for hover in

ground effect (HIGE) and hover out of ground effect (HOGE)

 Provide a comprehensive data set of system

performance and reliability

 Funding provided by the state of Maryland

through the Maryland Technology Transfer Fund (MTTF) program

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15 Use is limited to Proprietary Restriction on the cover 15

Next Steps

Movable control surfaces

Stability augmentation code

Turboshaft engine code

Replace AP code with software and hardware interfaces to a physical autopilot

Create a full CFD based hardware-in- the-loop (HIL) simulator

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Thank you