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DFRC-E-DAA-TN3895 · Engine Yaw Augmentation for Hybrid-Wing-Body Aircraft via Optimal Control Allocation Techniques

NASA (NTRS) · 2011

Open the PDFPublic domain · NASA (NTRS)Technical Reports

Overview

Asymmetric engine thrust was implemented in a hybrid-wing-body non-linear simulation to reduce the amount of aerodynamic surface deflection required for yaw stability and control. Hybrid-wing-body aircraft are especially susceptible to yaw surface deflection due to their decreased bare airframe yaw…

Pages
·
21

Key points

  • The Engine Yaw Augmentation system aims to improve the yaw stability and control of Hybrid-Wing-Body (HWB) aircraft by using asymmetric engine thrust.
  • Optimal control allocation techniques are employed to determine the thrust for each engine, aiming to minimize control surface deflection while maintaining performance.
  • The X-48B aircraft, a remotely piloted research vehicle, is used to implement and test the engine yaw control system.
  • The system demonstrated a potential drag reduction of 2-4% depending on flight conditions, achieved by reducing the need for aerodynamic surface deployment.
  • The engine yaw controller is robust against aerodynamic modeling errors and sensor noise, with similar steady-state performance despite variations.
Frequently asked questions
What is the purpose of the Engine Yaw Augmentation system?

The system is designed to improve the yaw stability and control of Hybrid-Wing-Body aircraft by utilizing asymmetric engine thrust.

How does the optimal control allocation technique work?

It determines the optimal thrust for each engine based on the total thrust command from power lever angles, aiming to generate yaw moments while keeping individual engines close to their commands.

What aircraft is used for testing the engine yaw control system?

The X-48B, a remotely piloted research aircraft, is used to implement and evaluate the engine yaw control system.

What drag reduction was observed during the tests?

The tests indicated a potential drag reduction of 2-4%, depending on flight conditions, by minimizing the deployment of aerodynamic surfaces.

Is the engine yaw controller effective in the presence of errors?

Yes, the engine yaw controller is robust to aerodynamic modeling errors and RPM noise, maintaining similar steady-state performance despite these variations.

Document

Engine Yaw Augmentation for Hybrid-Wing-Body Aircraft

via Optimal Control Allocation Techniques !

NASA Dryden Flight Research Center !

Brian R. Taylor !

Seung Y. Yoo !

AIAA GNC 2011 !

Agenda !

• Motivation !

• Prior Research !

• Aircraft Background !

• Approach !

• System Architecture !

– Diagram !

– Optimal Allocator Objectives !

• Results !

– Nominal !

• Frequency Response !

• Attainable Moment Set !

– Robustness !

• Aerodynamic Modeling Errors !

• Sensor Noise !

• Conclusions !

AIAA GNC 2011 !

Motivation !

• Environmentally Responsible Aviation project goal: !

– Improve noise and efficiency of future aircraft !

• Hybrid-Wing-Body (HWB) aircraft have potential to reduce fuel burn

and noise compared with current aircraft !

• Due to lack of a large vertical tail with a large moment arm aft of the

center of gravity, HWB aircraft tend to have reduced bare airframe

yaw stability and control !

– Some aircraft augment with a closed-loop flight control system which uses split ailerons to create yaw moment with asymmetric drag !

 Use asymmetric engine thrust to reduce control surface deflection !

AIAA GNC 2011 !

Prior Research !

• Propulsion controlled aircraft research began following the complete

loss of hydraulic power on United Airlines Flight 232 !

– Pilots manually operated engines in order to control the aircraft and attempt a landing in Sioux City, Iowa !

• Led to extensive research in the use of propulsion control to replace

or augment the control authority of the baseline aircraft in the event

of failures !

• Research on thrust vectoring to reduce trim drag reductions on a

NASA F-15 aircraft !

– 3.5% drag reduction for pitch thrust vectoring !

– 1.5% drag reduction for yaw thrust vectoring !

 Controller to reduce surface activity during trim and low frequency

inputs on HWB aircraft !

 Implemented as an add-on to the baseline control laws !

AIAA GNC 2011 !

X-48B Background !

• Research partnership of Boeing, NASA, and AFRL !

– Design and fabrication contracted to Cranfield Aerospace !

• Airframe !

– Remotely piloted from ground control station !

– 8.5% dynamically scaled (rigid body) !

• Wingspan: 20.4 ft !

• Weight: 525 lbf !

• Thrust: 54 lbf each (3 JetCat turbojet engines) !

– Closed-loop flight control system !

– 20 control surfaces !

• 4 split ailerons !

• 2 winglet rudders !

AIAA GNC 2011 !

Approach !

• Engine yaw control implemented as an add-on to the baseline

control laws !

– Objective: to reduce the amount of control surface deflection while not degrading performance of baseline control laws !

– Baseline control laws have no “knowledge” of the add-on !

• Optimal control allocation techniques used to determine the optimal

thrust for each engine !

– Track the total thrust command from the power lever angles (PLA) !

– Generate yaw moment to drive the split ailerons to zero !

– Keep the individual engines as close to their individual PLA commands as possible !

AIAA GNC 2011 !

System Diagram !

• Rate limiting: !

– +/- 3% of the total engine thrust !

– Step size 1% of the total engine thrust !

– 343 computations per frame !

AIAA GNC 2011 !

Optimal Allocator Objectives !

• Optimal control allocation techniques used to determine the optimal

thrust for each engine !

– Track the total thrust command from the power lever angles (PLA) !

– Generate yaw moment to drive the split ailerons to zero !

– Keep the individual engines as close to their individual PLA commands as possible !

Yaw Moment Individual PLA Total Thrust 2 2 2

J = T − u + ε v − Bu + γ T − u + T − u + T − u

( ) ∑ ( ) ( ) ( )

i i 1 1 2 2 3 3 i = 1 u ≤ u ≤ u Subject to: i i i min max

AIAA GNC 2011 !

Implementation !

• Implemented in X-48B non-linear simulation !

– Ensure engine yaw add-on did not degrade performance of baseline control laws !

– Measure the benefits of the engine yaw controller !

– Ensure engine yaw controller is robust to modeling errors and instrumentation noise !

• Simulation tests: !

– Lateral-Directional frequency response !

– Benefits and performance around the attainable moment set boundary !

– Aerodynamic modeling errors !

– Instrumentation noise !

AIAA GNC 2011 !

Frequency Response !

• Frequency sweep of rudder to sideslip angle with engine add-on

turned on and off !

• Matches well below 6 rad/s !

– Engine response has 6 dB attenuation at 6 rad/s !

ï 1 0 Amplitude Ratio (dB) 10 10 EYC Off EYC On 0 Phase Angle (deg) ï 1 0 10 10 AIAA GNC 2011 !

Freq (rad/sec)

Attainable Moment Set Testing !

• 2% rudder step !

• PLA ramp at 80 seconds !

• Total thrust tracked before and after the PLA ramp !

0.95 0.9 0.85 0.8 0.75 0.7 0.65 Normalized Total Thrust 0.6 Command Response 0.55 0 20 40 60 80 100 120 140 Time (sec) AIAA GNC 2011 !

Attainable Moment Set Testing !

• Asymmetric thrust within attainable moment set !

• Convergence time approximately 50 seconds !

Engine 1 ramped to maintain asymmetric thrust Engine 1 Engine 2 0.9 0.9 Engine 3 Total Thrust Command 0.8 0.8 0.7 0.7 0.6 0.6 0.5 0.5 Normalized Thrust 0.4 Normalized Thrust 0.4 0.3 0.3 0.2 0 20 40 60 80 100 120 140 AIAA GNC 2011 ! Time (sec) 0.2 0 20 40 60 80 100 120 140 Time (sec)

Attainable Moment Set Testing !

• Split aileron deflection is driven to zero !

– Due to baseline control laws, winglet rudder deflection is also driven to zero !

• As the asymmetric thrust is reduced to track total thrust, surface

deflection is increased to meet the yaw command !

Left Upper Surface Right Lower Surface Right Split Aileron (deg) Winglet Rudder Deflection (deg) 0 20 40 60 80 100 120 140 0 20 40 60 80 100 120 140 Time (sec) Time (sec) AIAA GNC 2011 !

Aerodynamic Modeling Errors !

• 2% rudder step and +/-50% error used on the aerodynamic model

affecting the aero achieved yawing moment !

• Convergence times change with error, but similar steady state is

reached !

Engine 1 No Mdl Error Engine 2 No Mdl Error 0.9 0.9 Engine 3 No Mdl Error Engine 1 +50% Mdl Error 0.8 0.8 Engine 2 +50% Mdl Error Engine 3 +50% Mdl Error 0.7 0.7 Engine 1 ï 50% Mdl Error Engine 2 ï 50% Mdl Error 0.6 Engine 3 ï 50% Mdl Error 0.6 Total Thrust Command 0.5 0.5 Normalized Thrust Normalized Thrust 0.4 0.4 0.3 0.3 0.2 0 20 40 60 80 100 120 140 0.2 Time (sec) 0 20 40 60 80 100 120 140 AIAA GNC 2011 !

Time (sec)

Aerodynamic Modeling Errors !

• Split ailerons are still driven to zero deflection !

• Convergence time is about 10 sec shorter for +50% error and

approximately 30 sec longer for -50% error compared to nominal !

Upper Surface No Mdl Error Lower Surface No Mdl Error Right Split Aileron (deg) Upper Surface +50% Mdl Error No Mdl Error Lower Surface +50% Mdl Error Winglet Rudder Deflection (deg) +50% Mdl Error Upper Surface ï 50% Mdl Error ï 50% Mdl Error Lower Surface ï 50% Mdl Error 0 20 40 60 80 100 120 140 0 20 40 60 80 100 120 140 Time (sec) Time (sec) AIAA GNC 2011 !

Instrumentation Noise !

• Noise added to measured RPM signals equal to 5% of the maximum !

• Low pass filters (0.5 rad/s ) on all of the signals from the sensors !

• Increased noise in the thrust commands, but similar steady state

values !

Engine 1 no Noise 0.9 Engine 2 no Noise 0.9 Engine 3 no Noise 0.8 Engine 1 with Noise 0.8 Engine 2 with Noise 0.7 Engine 3 with Noise 0.7 Total Thrust Command 0.6 0.6 0.5 0.4 0.5 Normalized Thrust Normalized Thrust 0.3 0.4 0.2 0.3 0.1 0 20 40 60 80 100 120 140 0.2 Time (sec) 0 20 40 60 80 100 120 140 AIAA GNC 2011 !

Time (sec)

Instrumentation Noise !

• Convergence time is approximately 25 seconds slower with noise on

the measured RPM signals !

• Right split aileron is still driven to zero deflection !

No Noise With Noise Right Split Aileron (deg) Upper Surface no Noise Lower Surface no Noise Winglet Rudder Deflection (deg) Upper Surface with Noise Lower Surface with Noise 0 20 40 60 80 100 120 140 0 20 40 60 80 100 120 140 Time (sec) Time (sec) AIAA GNC 2011 !

Drag Reduction !

• Potential to reduce drag by 2 – 4% depending on flight condition !

• Estimated from the maximum yaw capability of the engine add-on

and the amount of split aileron required to create the same moment !

• 2.8% drag reduction for this case seen in flight: !

ï 40 Upper Surface Lower Surface ï 30 ï 20 ï 10 Split Aileron Surface Position (deg) AIAA GNC 2011 !

0 50 100 150 200 250 300 350 400 Time (sec)

Design Considerations !

• Potential drag reduction from engine yaw add-on !

• Operates engines off-nominal condition which may increase the

amount of fuel used even though drag is reduced !

– Application dependent !

• Amount of closed-loop yaw stability and control needed and the type of surfaces used !

• Thrust and location of engines !

• Specific fuel consumption for off-nominal operation !

– Can implement fuel flow as the second objective in the cost function instead of yaw moment to take into account the effect of operating engines off-nominal conditions !

• Additional tool and trade-off for aircraft designers !

AIAA GNC 2011 !

Conclusions !

• Add-on to baseline control laws !

• Asymmetric engine thrust was used to reduce

deployment of aerodynamic surfaces !

– Objectives: !

• Preserve baseline aircraft control characteristics !

• Reduce drag !

• Optimal control allocation techniques: !

– Track total thrust command !

– Generate yaw moment to drive split ailerons to zero !

– Keep individual engines close to PLA !

• Robust to aerodynamic modeling errors

and RPM noise !

– Convergence time differences, but similar steady state !

• Drag reduction of 2 – 4% !

• Planned for flight research on X-48C in 2012 !

AIAA GNC 2011 !

AIAA GNC 2011 !

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Document details

Doc number
·
DFRC-E-DAA-TN3895
Publisher
·
NASA (NTRS)
Year
·
2011
Pages
·
21
File size
·
1.9 MB