8 High-Angle-of-Attack (High-α) Aerodynamics

High-angle-of-attack (high-α) aerodynamics is inherently associated with:

  • Separated flows (and thus nonlinear aerodynamics)
    • One of the key aspects is the interaction of components—vortex flows in particular (since vortex bursting is also an important effect).
  • Heavy dependence on wind tunnel testing
  • Flight simulation to ensure good handling qualities
    • This means that large amounts of data have to be acquired to construct the mathematical models of aerodynamics.

The key tutorials and surveys on high-angle-of-attack aerodynamics were written by Chambers and Grafton[1] and later by Chambers on his own.[2] Typical high-α issues and concerns for three classes of aircraft are highlighted below. Addressing them requires a good understanding of the high-α aerodynamic characteristics of the aircraft.

General aviation aircraft

  • Prevention/recovery from spins. To improve spin resistance, consider the drooped outer panel (NASA LaRC) or the interrupted leading edge (NASA Ames). Do consider placing the vertical tail where it can get “good” flow during a spin, including inclining the rudder hinge line forward rather than aft. It will make it more effective. Also, placing a ventral strake ahead of the rudder, as seen on many general aviation (GA) airplanes, not only adds side area but also produces a vortex at sideslip that helps maintain the entire surface effectiveness. Finally, do not use the tail-damping power factor (TDPF) available in the old NACA literature. It is known not to work.
    Folklore has it that T-tail configurations may have a benefit; the vertical tail and rudder may not be blocked by the wake of the horizontal tail. This may or may not be true.

Fighters

  • Resistance to departure from controlled flight
  • Ability to control aircraft at high-α air combat maneuvering[3]
  • Allowance for unlimited α range (the F-16 requires an angle of attack limiter)
  • Requirement to be able to perform velocity vector rolls[4] (through inertial coupling, this adds additional nose-down pitching moment requirement)
  • Perform the Herbst maneuver (causing a rapid change of heading but also losing a lot of energy, so in a multiple engagement, you may become a sitting duck for someone else)
  • Fuselage pointing to allow missile lock-on and fire
  • Use of the control system to enhance maneuver capability
  • Controls enhanced using thrust vectoring (possibly especially important for stealth a/c).
    • Well known high-angle-of-attack research aircraft: F-18 HARV (thrust vectoring with vanes), X-31 (thrust vectoring with vanes), X-29 (no. 2 had nose blowing)
  • Supermaneuverability and aircraft agility are of major interest for advanced fighter design. This requires the use of dynamic measures to assess performance. Supermaneuverability seeks to exploit an unsteady flow effect—the fact that you can get higher CLmax’s by so-called dynamic overshoot.

Transports

  • As discussed previously in terms of basic transport configuration aerodynamics, the primary high-α problem is the suppression and control of pitchup and avoidance of deep stall. The case study of the DC-9’s development provides an excellent overview of the issues with the T-tail configuration and the stall issues in general.

8.1 Basic Aerodynamics of High-α

8.1.1 Longitudinal

The basic aerodynamic characteristics are illustrated in figure 8-1. This is a notional pitching moment curve. For modern airplanes, the stability may not be a major issue (within reason), but the envelope defining the maximum nose-up and nose-down moments that can be generated is critical, and the minimum value of nose-down pitching moment is a critical condition.

The moment coefficient c sub m is shown as a function of angle of attack alpha for both a max nose up moment and a max nose down moment. The former has all positive values until just before alpha equal 90 degrees, while the latter has all negative values. Both the nose up and nose down moments initially increase as alpha increases, with the nose up increasing faster, until reaching a critical c sub m star at pinch. Pinch typically occurs between alpha equal to 30 and 40 degrees. The max nose up moment then remains constant while the max nose down moment begins to decrease for roughly two-thirds of the same alpha values, but then begins increasing shortly afterwards. After the max nose down moment begins increasing, the max nose up moment begins decreasing. At roughly the midpoint of the decreasing edge of the max nose up line, the max nose down line also begins decresing as well.
Figure 8-1: Typical example of pitching moment assessment chart (notional). From W. H. Mason. Adapted by P. Raj.

Wind tunnel data[5] for the F-16 contained in figure 8-2 shows that, for this CG location, the F-16 is limited in angle of attack (AOA) at which it can be trimmed to obtain Cm = 0. Thus the control system is designed to limit the angle of attack that the F-16 can reach to prevent the airplane from encountering a problem. This reference is a classic study and includes detailed aerodynamic math model data.

The moment coefficient c sub m for an F-16 is shown as a function of angle of attack alpha for control suface deflections of 0 degrees using circles, positive 25 degrees for maximum nose up moment using squares, and negative 25 degrees for maximum nose down moment using diamonds. The positive flap deflection remains positive for all alpha values less than roughly 55 degrees. For both the undeflected flap data, c sub m is slightly negative for alpha less than 20 degrees, then remains roughly 0 until alpha of roughly 40 degrees. After this point, c sub m is positive and does not begome negative again until alpha equal to roughly 65 degrees. A similar shape is shown for the negative flap deflection, with negative values until roughly alpha equal 45 degrees, then positive values until alpha equal 60 degrees. This indicates that a small set of alpha values for which no flap deflections can generate a negative c sub m.
Figure 8-2: Pitching moment wind-tunnel data for the F-16. From L. T. Nguyen, M. E. Ogburn, W. P. Gilbert, K. S. Kibler, P. W. Brown, and P. L. Deal. “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability.” NASA. Public domain. Adapted.

The following values of suggested design criteria for nose-down pitching moment were developed by Marilyn Ogburn and John Foster at NASA Langley, supported by the Navy.[6] These are design goals for modern maneuvering aircraft.

  Pitch accel in 1st second
(rad/sec2)
Minimum pitch rate at 2 sec & after command input (deg/sec)
Desirable -0.25 -24.0
Safety -0.07 -5.0

Table 8-1: Suggested design criteria for nose-down pitching moment

8.1.2 Lateral/Directional

The typical directional characteristics are assessed in terms of the directional stability, Cnβ. Figure 8-3 provides the generic expectation, while figure 8-4 contains wind tunnel results for an F-5.[7] Initially the vertical tail provides the stability. However, at angles of attack where the wake from the wing prevents the tail from operating in clean flow, the vertical becomes ineffective. At higher angles of attack, the long forebody on modern fighters can be designed to provide direction stability.

Directional stability c sub n sub beta is shown as a function of angle of attack alpha. Designs with a vertical tail are shown with a constant stability. The stability then begins to decrease linearly for a V tail in the wake, which decreases to the level of instability indicitive of a design without a vertical tail as alpha continues to increase. This instability remains constant for a short period until the forebody effects begin to increase the stability back into the stable range. This stability eventually peaks and begins to decrease linearly back towards instability as alpha continues to approach 90 degrees.
Figure 8-3: Generic directional aerodynamic characteristics. From W. H. Mason. Adapted by P. Raj.
Directional stability c sub n sub beta is shown for the F-5 as a function of angle of attack alpha. The Forebody alone is shown using open circles and is unstable at negative 0.0015 for lower alpha values. The forebody remains relatively constant until an alpha of 24 degrees, after which it grows linearly and becomes positive after alpha equal to 29 degrees. The full configuration without a tail is even more initially unstable with a value of roughly negative 0025. It remains relatively constant before dropping slightly between alpha equal to 12 and 22 degrees, before growing linearly and becoming positive at alpha equal to 31 degrees. For the full configuration with a tail, the design is initially much more stable with values of 0.0045, which increases slightly between alpha equal to 2 and 8 degrees, then remains constant until it begins to decrease in stability after alpha equal to 12 degrees. The stability decreases parabolically, but bottoms out at roughly negative 0.0005 at alpha equal 27 degrees. Afterwards, it increases linearly along the same slope as the other two curves.
Figure 8-4: Directional characteristics of the F-5. From S. Grafton, J. Chambers, and P. Coe, Jr. “Wind-Tunnel Free-Flight Investigation of a Model of a Spin-Resistant Fighter Configuration.” NASA. Public domain.

Figure 8-5 shows the generic characteristics for lateral characteristics, which is examined in terms of C. Initially, wing dihedral or sweep will cause the stability derivative to decrease with angle of attack. However, in a swept-wing situation, asymmetric flow separation characteristics cause the curve to “break” and abruptly become positive.

Lateral stabiilty c l sub beta is shown to vary as angle of attack alpha increases. Dihedral effect, which is comprable to the effects of sweep, is shown as slightly stable or negative and growing further stable as alpha increases. The stability begins to decrease as flow separates along the wing, then decreases more rapidly as drooping leading edge devices causes c l sub beta to become positive. This leads to a peak positive, unstable value that begins to decrease and become unstable after a point as alpha continues to increase.
Figure 8-5: Generic lateral aerodynamic characteristics. From W. H. Mason. Adapted by P. Raj.

Figure 8-6 contains actual characteristics of an F-4, with the effects of the maneuvering slats, which are seen to be extremely beneficial.[8]

A scale model of the F-4 is shown along with a plot of its lateral stability c l sub beta. The basic model's values are shown as a solid line, while the basic model with added slats is shown a dashed line. Both lines track together between alpha equal 5 and 15 degrees as c l sub beta decreases and the design becomes more stable, but afterwards the design without slats sees a rapid increase in c l sub beta approaching 0, but not crossing it before it begins to decrease and become more stable again after alpha equal 22. The design with added slats continues to become more negative and stable for the same alpha values, oscillating slightly between alpha equal 25 and 35 degrees, but then increases to match with the design without slot values at alpha equal 40 degrees.
Figure 8-6: Lateral characteristics of the F-4, including the effects of the maneuver slats. From E. Ray, L. W. McKinney, and J. G. Carmichael. “Maneuver and Buffet Characteristics of Fighter Aircraft.” NASA. Public domain.

These characteristics are used to establish the basic lateral-directional static stability. One of the complications associated with canard aircraft is the wide variation in these characteristics based on canard setting. The trailing vortex system from the canard interacts with the leading-edge vortices of the main wing, forebody vortices, and also the vertical tail. Thus the lateral-directional characteristics of canard configurations play a large role in deciding if a canard configuration is practical. Recall that for classical static stability:

  • Directional stability (must be in the stability axis): Cnβ > 0.0
  • Dihedral effect (also promoted by wing sweep): Clβ < 0.0

8.2 Flight Mechanics of High-α

Controllability of flight at high angle of attack can encounter several different types of problems.[9] Here are some brief descriptions of terms you are likely to encounter.

  • Departure: This occurs when the airplane departs controlled flight. It may develop into a spin.
  • Wing drop: A roll-type problem caused by asymmetric wing stall (or unstall).
  • Wing rock: The aerodynamic rate-damping moments become negative, and the wing starts to oscillate in roll. This is associated with an interaction of the separated flow above the wing, typically the leading-edge vortices that are above the wing.
  • Nose slice: When the aerodynamic yaw moments exceed the control authority of the rudder, the airplane will tend to exceed the acceptable sideslip angle and depart through a yawing motion (making this a yaw-type problem).

The basic aerodynamic characteristics described above are often used to try to assess, at least approximately, how susceptible the aircraft is to departure. In reality, you also need dynamic aerodynamic characteristics, but these are usually not available early in the design process. Some static derivative-based dynamic criteria are available to provide guidance. Greer[10] provided a summary of directional data for numerous aircraft, as well as a very easy-to-read description of the departure problem as it changed from piston fighters to high-speed swept-wing jet fighters. Greer’s report contains nominal characteristics of the following aircraft: XP-92, YF-102, XF4D-1, F-8, F-86D, Mig 15, Bell D-188A, X-15, A-7, F-4E, F-111, F-5, XB-58, Winged Missile, Lockheed SST, the initial Boeing SST B2707, and NASA Generic SST.

In his 1972 paper, Greer wrote:

In the late 1940s low-aspect-ratio swept-wing fighter configurations began to emerge, and it soon became apparent that they would behave very differently at the stall than their predecessor straight-wing configurations. Whereas straight-wing configurations generally experienced a roll-off type of divergence at the stall because of one wing dropping before the other and unstable damping in roll immediately after stall, the swept-wing configurations began to show a directional divergence at high angles of attack.

Thus, it appeared that both Cnβ and Clβ were important. Greer went on to explain:

A theoretical analysis group headed by Leonard Sternfield, then of Langley, studied the problem and concluded that the divergences occurred when the C-term of the stability quartic became negative and they developed a simplified form of the C-term and called it Cnβdyn, or the directional stability parameter. The derivation of this parameter is given in the appendix.

Greer’s report shows the correlation of various aircraft data with the directional stability parameter. The reasonable correlation showed that this parameter could be used to estimate when aircraft departure would become likely. Note that Lutze et al.[11] show how this parameter can be derived in very general terms. The discussion of Cnβdyn by Calico[12] is also useful.

8.2.1 Directional Stability Parameter, Cnβdyn

According to Johnston and Heffley,[13] Cnβdyn may not be a highly precise predictor of aircraft departure, only approximate. Its target value should be positive, as shown in equation (8-1).

Cnβdyn>0(8-1)

where

Cnβdyn=Cnβcosα(IzIx)Clβsinα.(8-2)

This is an open-loop parameter. To improve resistance to directional divergence, Greer suggested increasing the vertical tail size (Cnβ) and using leading edge slats (Clβ). The vertical tail size was increased in the case of the F-100 aircraft. Just looking at pictures of the original design give the impression that the tail was too small. However, since the vertical tail loses effectiveness at high angle of attack, this by itself is not sufficient.

8.2.2 The Lateral Control Divergence Parameter (LCDP)

LCDP is a “good predictor” according to Johnston and Heffley[14] and shown in equation (8-3).

LCDP=CnβClβ(CnδaClδa)>0(8-3)

Negative values imply roll reversal, where the pilot commands roll in one direction, and the plane rolls the other way!

This is a closed-loop parameter. To improve this value, the control system can be used to include the use of the rudder at high angle of attack. This approach, known as an aileron-rudder interconnect (ARI), can dramatically improve the value of LCDP at high angle of attack.

Figures 8-7 and 8-8 show the lateral-directional characteristics of the F-16 aircraft, together with Cnβdyn and LCDP.[15] Figure 8-8 shows the significant effect the ARI has on LCDP.

For an F 16, c l sub beta is shown to be negative for all alpha values between 5 and 40 degrees. C sub n sub beta is initially positive, but decreases and becomes negative at roughly alpha equal 29 degrees, then remains negative for further alpha increases. C sub n sub beta dynamic remains positive and grows more positive as alpha increases, but has a sudden drop after alpha equal 30 degrees, bottoming out at 35 degrees but remaining positive and then increasing as alpha increases further.
Figure 8-7: Variation of lateral-directional stability characteristics of the basic F-16 configuration with angle of attack for scheduled leading-edge flap deflection of 0°. From L. T. Nguyen, M. E. Ogburn, W. P. Gilbert, K. S. Kibler, P. W. Brown, and P. L. Deal. “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability.” NASA. Public domain. Labels adapted.
All cpa L C D P is shown for the F-16 as a function of angle of attack alpha in degrees for the basic and augmented designs. Positive values are denoted as a normal response, while negative values correspond to a reversed response. The circular points for a basic design begin at roughly 0.003, begin to decrease linearly after alpha equal 15 degrees, becoming negative after roughly alpha equal 25 degrees. The basic design remains negative for further alpha increase, but appears to have a minimum at alpha equal 35 degrees. The augmented design begins at roughly 0.003 as well, but grows exponentially as alpha approaches 30 degrees. It then oscillates between alpha equal 30 and 40 degrees.
Figure 8-8: Variation of lateral control divergence parameter (LCDP) with angle of attack from the F-16 wind-tunnel test data. From L. T. Nguyen, M. E. Ogburn, W. P. Gilbert, K. S. Kibler, P. W. Brown, and P. L. Deal. “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability.” NASA. Public domain. Labels adapted.

Some effort has been made to correlate the values of these parameters to define regions in which something can be said about departure characteristics. These parameters have been combined to suggest the best region to operate in the design space. The original chart is derived from Weissman,[16] but Bill Bihrle added some more details,[17] leading to the chart shown in figure 8-9.

Region U denotes the high directional instability, which has little data, and corresponds to a square bounded by c n sub beta dynamic equal to negative 0.012 and negative 0.0015 and L C D P equal to 0 and 0.008. A second box can be made by combining regions F and A, which is bounded by region U on the left edge, c n sub beta equal to 0.012 on the right edge, and L C D P equal to negative 0.0015 and 0.008 on the bottom and top edges, respectively. Region F forms a triangle in the bottom left corner of the rectangle by a hypotenuse between L C D P equal to 0.006 on the left edge and c n sub beta equal to 0.0055 on the bottom edge. It corresponds to weak departure and spin resistance, no roll reversals, and is heavily influenced by secondary factors. Region A composes the rest of the rectangle and corresponds to high departure and spin resistance. Region B forms another triangular region directly below Region A, with its hypotenuse along the same line as Region F's, its upper edge equal to the bottom edge of Region A, and its right edge at the same c n sub beta values as Region A, intersecting the hypotenuse at L C D P equal to roughly negative 0.0085. Region B corresponds to designs that are spin resistant, though objectionable roll reversals can induce departure and post stall gyrations. Region D has two subsets for positive and negative c n sub beta values, and corresponds to designs with strong departure, roll reversals and spin tendencies. The portion of D where c n sub beta is less than 0 shares its left and top edges with Region U, is bounded by L C D P equal to negative 0.009 on the bottom, and has the same right edge as U until an L C D P value of negative 0.0015, after which it follows a straight line from there to a c n sub beta value of 0.007 at L C D P equal to negative 0.01. This line forms the top right edge for the second subsection of Region D, which forms a right triangle between this line, c n sub beta equal to 0 and L C D P equal to negative 0.01. Region E corresponds to designs with weak spin tendancy, moderate departure and roll reversals, and are affected by secondary factors. Region E is bounded by the sloped top-right edge of Region D, the bottom edge of Region F, and a line between c n sub beta 0.001 at L C D P equal to negative 0.0035 and c n sub beta 0.003 at L C D P equal to negative 0.0015. Region C is the area between Regions B, F, E, and D where L C D P is greater than negative 0.009. Region C corresponds to designs with weak spin tendency and strong roll reversal results in control induced departure.
Figure 8-9: The Integrated Bihrle–Weissman chart. From W. Bihrle, Jr. and B. Barnhart. “Design Charts and Boundaries for Identifying Departure Resistant Fighter Configurations.” NADC. Public domain.

Other requirements:

  • Dynamic derivatives (generally from forced oscillation testing):
    • Cnr < 0.0 (yaw damping) not too pro spin
    • Clp < 0.0 (roll damping) < 0 to prevent wing rock

8.2.3 The Spin

If the departure develops into a spin, there are a few things that are known.

First, the mechanics depend on the sign of the term (Ix – Iy).

  • If (Ix – Iy) > 0, the plane is said to be wing heavy (typically GA airplanes).
  • If (Ix – Iy) < 0, the plane is said to be fuselage heavy (typically modern supersonic fighters).

There are also some rough guidelines to recover from a spin:

  • If (Ix – Iy) > 0, ailerons are applied against the spin, elevator down.
  • If (Ix – Iy) < 0, ailerons are applied with the spin.

A key survey on spins is again by Chambers[18] and should be studied for further insight.

8.3 Control Effectiveness With Angle of Attack

Two plots. The first plot shows delta c sub n is shown as a function of angle of attack alpha. For a rudder deflection delta sub r equal to negative 30 degrees, whicih is shown using circular data points, delta c sub n remains constant at approximately 0.045 through alpha equal 30 before decreasing linearly between 35 to 45 degrees, then decreases at a slightly slower rate for further alpha increases. A second line using square data points is shown for an aileron deflection delta sub a of negative 20 degrees and differential tail deflection delta sub d of negative 5 degrees, which decreases linearly from roughly 0.01 at alpha equal 0 to negative 0.01 at alpha equal 35 degrees. Afterwards, delta c sub n increases slightly at alpha equal 40 degrees, but then resumes roughly the same rate of decrease as alpha continues to increase.
Figure 8-10: Control effectiveness loss as angle of attack increases for the F-16. From L. T. Nguyen, M. E. Ogburn, W. P. Gilbert, K. S. Kibler, P. W. Brown, and P. L. Deal. “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability.” NASA. Public domain. Labels adapted.

Control effectiveness tends to diminish as the angle of attack increases. This is especially true for the ability to generate yawing moment. Figure 8-10 shows the reduction in control forces with angle of attack for the same F-16 wind tunnel test illustrated previously.[19] Note that this reference is a classic study that includes detailed aerodynamic math model data.

Figure 8-11 shows a somewhat novel way of generating yawing moment for a supersonic tactical aircraft configuration (STAC) using differential canard deflections to make up for the loss of rudder effectiveness.[20] Here, differential tail is also used to make up for the rudder.

Yawing moment coefficient c sub n is shown as an angle of attack alpha. The contribution from the rudder for delta r sub max is initially 0.032, but then decreases parabolically to 0 as alpha approaches 35 degrees. The portion from the differential canard is shown as the max difference between delta sub c sub l and delta sub c sub r, which grows exponentially from an initial value of roughly 0.01 as it appears from behind the rudder contribution to a peak at 0.06 at alpha equal to 60 degrees, after which it decays exponentially for further alpha increases.
Figure 8-11: Yawing moment from rudder and differential canard on the supersonic tactical aircraft configuration (STAC). From M. Lapins, P.  Martorella, R. W. Klein, R. C. Meyer and M. J. Sturm. “Control Definition Study for Advanced Vehicles.” NASA. Public domain.

Thrust vectoring can also play an important role in providing control power at high angles of attack. This also means that the thrust must be provided so as to create a moment arm. Sometimes this is a problem, preventing the use of deflected thrust to be used for trimmed lift.

8.4 The F-22: Putting It All Together (An Example)

The F-22 is one of the more recent airplanes to require high-angle-of-attack capability. Charles M. Wilson from Lockheed Martin gave a talk at Virginia Tech in November 1996 called “High Angle of Attack Design Considerations.” The main purpose was to give the attendees an appreciation for integrating high-angle-of-attack (high-α) flight into the F-22 external configuration (or the outer mold line). Charlie left a copy of the charts he used in his discussion of the high-α development effort. He used examples of wind tunnel data for YF-22 (the prototype configuration) to present design considerations for forebodies and vertical tails of the F-22. He showed the effect of the leading-edge flap (LEF) schedule on the lateral-directional characteristics and the nose-down pitching moment across the angle-of-attack range, including the effect of thrust vectoring. Finally, he presented the maximum roll rate as a function of angle of attack, also showing the significant benefit of thrust vectoring using comparisons with the F-15. Images and narratives from selected slides from his presentation are shown in figures 8-12 through 8-15. A related paper on the YF-22 is by Clark and Bernens.[21]

Figure 8-12 shows a perspective view of the F-22 configuration that illustrates blended-wing body shaping for stealth with integrated propulsion for supercruise capability. The figure shows flight control surfaces, their no-load rates, and deflection limits. For example, the ailerons have a no-load rate of 70° per second and a deflection limit of ±25°. Horizontal tails are primarily for longitudinal control with considerable assistance from thrust vectoring at lower speeds. Leading-edge flap, flaperon, and ailerons are scheduled with angle of attack and Mach number to improve performance, stability, and control. Flaperon, aileron, and differential horizontal tail combine for roll control with leading-edge flap added at moderate angles of attack. Rudder power is augmented at high angles of attack by differential horizontal tail and nonsymmetric aileron/flaperon. Instead of a dedicated speed brake, the aircraft combines up-deflected aileron, down-deflected flaperon, and outboard rudder to increase drag, using horizontal tails to trim.

The control surfaces for an F-22 are colored darker than the rest of the blended wing-body. Inlet bleed doors are shown just beyond the cockpit on either side, and have a no-load rate of 50 degrees per second and can open anywhere form 0 to 45 degrees. The leading edge flaps on the wing have a no-load rate of 30 degrees per second and can deflect anywhere from 0 to 35 degrees. Ailerons, located on the outer portion of the wing at the trailing edge, have a no-load rate of 70 degrees per second and have deflection limits of between positive and negative 25 degrees. The inner half of the wing's trailing edge are denoted as flaperons that have a no-load rate of 70 degrees per second and deflection limit between negative 20 degrees and positive 35 degrees. The trailing edge of the vertical tails are denoted as the rudders, which have a no-load rate of 80 degrees per second and can deflect anywhere between positive and negative 30 degrees. The all-moving horizontal tails are fully shaded as a control surface with a no-load rate of 60 degrees per second and can deflect anywhere between negative 25 degrees and positive 30 degrees. Finally, vectoring nozzels are shown at the aft end of the fuselage with a no-load rateof 40 degrees per second and can deflect between negative and positive 20 degrees. A flight test air data boom is mounted at the nose; it can measure air pressure, angle of attack, and angle of sideslip. Deceleration device uses combined aileron, flaperon, and rudder deflections. Lateral control is provided by combined aileron, flaperon, and horizontal tail deflection, with asymmetric leading edge flaps added at high angles of attack. Pitch control is provided by integrated horizontal tails and thrust vectoring nozzles.
Figure 8-12: F-22 flight control surfaces. From C. M. Wilson, LMAS. “High Angle of Attack Design Considerations” seminar. Reprinted with permission under CC BY-NC-SA 4.0.

Figure 8-13 illustrates enhancement of YF-22 maneuvering capability by thrust vectoring. The longitudinal benefits of thrust vectoring are substantial at high angles of attack, where control power can be maintained equivalent to that achieved at low angles of attack. As AOA increases, aerodynamic controls such as the horizontal tail lose effectiveness. Jet-induced effects contribute a significant portion of the pitching moment due to vectoring. Since the YF-22 propulsion system does not have afterburning (A/B) capability, thrust vectoring supports pitch rates of at least 20° per second to be generated even when initiated from 120 KEAS and 24° per second, whereas an F-16 can only generate 4° per second nose-up pitch rate. Typical pitch characteristics break stable at some AOAs. The nose can no longer be held above the AOA where full nose-up control crosses the pitch axis to the nose-down side. Without A/B, thrust vectoring extends the controllable AOA range by about 20°. However, if you rely on thrust vectoring, remember that the engines may be at idle thrust and you need confidence that the engine will keep running, which isn’t always a sure thing at high-α.

Thrust vectoring is shown to double the amount of pitching moment control for a given design as the max A over B and MIL power lines are shifted further out for both the nose up and down moments compared to the aero only shaded region surrounding the central neutral control axis and the slight increases caused by jet effects or lower angles of attack.
Figure 8-13: YF-22 high-angle-of-attack maneuverability enhanced by thrust vectoring as shown by increased range of nose-up and nose-down pitching moments at a given angle of attack as compared to aerodynamic controls alone. From C. M. Wilson, LMAS. “High Angle of Attack Design Considerations” seminar. Reprinted with permission under CC BY-NC-SA 4.0. Adapted.

Figure 8-14 provides strong evidence that leading-edge flaps (LEFs) are indispensable for high-α flights. With proper scheduling, they smooth out nonlinearities in pitch characteristics, as shown in figure 8-14(a). This helps decrease gains in longitudinal control laws. LEFs can be scheduled to improve lateral-directional stability, as shown in figures 8-14(b) and (c). They provide additional roll and anti-spin control power at moderate-to-high angles of attack. In addition, LEFs allow the wing camber to be tailored to maximize performance and improve control effectiveness of trailing-edge devices. They can also be a resource at higher speeds to control wing loads in order to change pressure distributions or to decrease buffet energy. During the F-22 configuration development, leading-edge flaps improved stability and control characteristics more than any of the vertical tail locations.

The inclusion of leading edge flaps causes c sub l beta to decrease slightly between alpha equal 10 and 20 before increasing while the version without the flaps reaches a slightly lower alpha value at 15 degrees but then increases to less negative values for higher alpha values. The c sub n beta values show a similar trend, with the inclusion of leading edge flaps decreasing the magnitude of the osciallations between alpha equal 10 and 30 degrees compared to the version without flaps that oscillates to slightly negative values between alpha equal to 20 and 30 degrees. Finally, c sub n for d sub r equal 30 degrees remain similar for alpha less than 20 degrees, but then the design including the flaps has lower values as alpha continues to increase.
Figure 8-14: YF-22 leading-edge flaps are powerful devices for improvements to stability and control characteristics as shown by (a) pitching moment characteristics; (b) lateral stability; (c) directional stability; and (d) directional control. From C. M. Wilson, LMAS. “High Angle of Attack Design Considerations” seminar. Reprinted with permission under CC BY-NC-SA 4.0. Adapted.

The impact of thrust vectoring on the F-22 roll rate can be illustrated by data from the YF-22 configuration shown in figure 8-15. For fighter aircraft at high angles of attack, stability axis roll rates are limited by the available yaw control power. That is why augmented aerodynamic rudder power and yaw thrust vectoring was used on the following demonstrators:

  1. The Rockwell-Messerschmitt-Bölkow-Blohm experimental jet aircraft X-31 was designed to test fighter thrust vectoring technology, demonstrating significantly more maneuverability than most conventional fighters.
  2. The General Dynamics (now Lockheed Martin) F-16 MATV (multi-axis thrust vectoring) demonstrated effective maneuvering beyond its 25° angle of attack limit to almost 100° AOA.
  3. The McDonnell Douglas F-18 HARV (High Alpha Research Vehicle) demonstrated stable flight at approximately 70° angle of attack and rolling at high rates at 65° angle of attack, which would have been nearly impossible above 35° without thrust vectoring.

The F-22 blends use of differential horizontal tail from primarily rolling moment below 20° AOA to primarily yawing moment at high AOA. Pitch thrust vectoring relieves some of the demand for longitudinal control from the symmetric horizontal tail position, which allows it to be positioned for more effective yaw command. Figure 8-15 shows that the F-15 runs out of roll capability around 30° AOA, but the innovative use of the YF-22 horizontal tail provides the pilot with the ability to continue controlling the plane of the lift vector and to out-maneuver the adversary to higher AOAs. Thrust vectoring allows the F-22 to counter higher levels of inertial pitch coupling due to roll rate. This is evidenced near 20° AOA, where roll rates for the YF-22 are comparable to the smaller F-16 and more than twice that of the F-15.

The roll rate in degrees per second is shown as a function of the angle of attack A o A in degrees. The lower limit equal to the rate of the F-15 and the upper limit equal to the rate of the F-16 are shown as dashed lines that decrease in a roughly linear rate as A o A increases. The solid line for the Y F-22 without thrust vectoring is roughly parallel to the F-15 dashed line and is halfway between the two limits, while the solid line for the Y F-22 with thrust vectoring is slightly greater and decreases at a slower rate, resulting it it surpassing the F-16 roll rate after alpha equal to roughly 25 degrees.
Figure 8-15: F-22 thrust vectoring provides roll rate advantage, especially at high AOAs. From C. M. Wilson, LMAS. “High Angle of Attack Design Considerations” seminar. Reprinted with permission under CC BY-NC-SA 4.0. Adapted.

8.5 Some Configuration Issues: Amazing Stories

8.5.1 Story No. 1: Flow Asymmetries at High Angle of Attack

In many cases, as the angle of attack increases, the flow develops asymmetrically even though the body is as nearly symmetric as possible, and the body is not yawed! The effect is to produce a side force over the nose of the body and therefore a yawing moment for the vehicle. This is particularly important for fighter aircraft with long forebodies.

In fluid mechanics terms, an axisymmetric body can produce an asymmetric flow at certain angles of attack. This is not too surprising, as the flow is simply unstable (recall the Kármán vortex street). Perhaps the key study relevant to fluid mechanics of aircraft at high-α was a fundamental study by Lamont[22] in the NASA Ames Research Center low-turbulence 12-foot pressure wind tunnel. An ogive cylinder was studied over a range of angles of attack (20° to 90°) and Reynolds numbers (0.2x106 to 4.0x106). More importantly, the model was tested at numerous different roll angles, which should not have resulted in any changes in the results. However, the results showed large variations in the side force with roll angle at angles of attack starting at about 30° or 35°. Reynolds number effects were also identified. For our purposes, it turns out that the low and high Reynolds number results were similar, but there was a large Reynolds number range, which unfortunately includes most of the wind tunnels, which saw significant variation in the Reynolds number effect. This could explain something I used to hear from engineers at the Full-Scale Tunnel at NASA Langley, who would claim, “We get the right answer, the one found in flight.” Turns out they were operating at a very low Reynolds number, and it was lucky they got the right answer! The problem of Reynolds number scaling effects applied to high-angle-of-attack flow has received continuing attention.[23]

To address flow asymmetry, small nose chines were added to fix the separation location at the nose in the X-29 aircraft. The F-22 and F-35 also have chined forebodies.

8.5.2 Story No. 2: The Role of the Forebody on Stability at High-α—The F-5 Nose Story

At low angle of attack, the vertical tail provides directional stability. However, as the angle of attack increases, its effectiveness decreases. Typically this occurs because it’s operating in the wake of the wing flow field. However, some aircraft start to exhibit increasing stability at higher angles of attack. In particular, the F-5 was tested at NASA’s Langley Research Center, and a novel investigation was made.[24] Directional stability was found for the entire configuration. Then the vertical tail was removed. Finally, the forebody alone was tested. As expected, at low angle of attack, the tail provided directional stability. The contribution of the tail started to disappear at about 17° or 18° α. The vertical tail-on and -off data were essentially the same starting at 30° α. However, at this angle of attack, directional stability was becoming positive and increasing rapidly. When the forebody was tested alone, the results agreed with the other configurations beginning at about 30° α. Thus, the conclusion was that the forebody was responsible for creating a stable configuration even though it had significant side area ahead of the center of gravity.

The reason for this phenomena? The vortices shed from the nose developed asymmetrically with sideslip. The vortex on the lee side left the surface, while the vortex on the windward side remained close to the surface (in effect, it was blown onto the surface). The low pressure under the windward vortex in effect “sucked” the forebody back toward the zero-sideslip condition, the condition for stability. The forebody result was simulated computationally by Mason and Ravi.[25]

As a result of the favorable forebody characteristics found in the wind tunnel data, many investigations have been made to find good forebody shapes.[26] Chines have also been of interest due to their good stealth characteristics. However, there is a problem, as forebodies with too much directional stability tend to lack yaw damping and want to “swing past” the unyawed position. Hence, a combination of directional stability and yaw damping must be found. The F-22 forebody reflects this trade. The forebody was set to have minimum basic flow asymmetry while maintaining reasonable yaw damping and directional stability.

8.5.3 Story No. 3: The Complexity of Component Interaction at High Angle of Attack

The Research Fighter Configuration (RFC) was a joint project between Grumman and NASA’s Langley Research Center to understand high-angle-of-attack aerodynamic design within the context of a supersonic cruise-maneuver and transonic-maneuver airplane. Anticipating success based on a previous program with a smaller canard,[27] the configuration was designed and several wind tunnel models were built. The design was tested at NASA Langley and at Grumman. Essentially, the results for the different models and different facilities agreed.

It was found that the directional stability of the model was extremely sensitive to the canard setting and that the twin vertical tail version of the airplane had a significantly lower maximum lift because of an adverse interaction with the vortices from the wing. This configuration showed complicated interactions between the forebody vortices, the canard trailing vortex system, the wing leading-edge vortices, and the vertical tail. No open literature report was ever published on this work.

Chapter 8 Exercises

8.1    Read the high-angle-of-attack aerodynamics paper by Joseph R. Chambers: “High-angle-of-attack Aerodynamics: Lessons Learned,” AIAA Paper 86-1774, 4th Applied Aerodynamics Conference, San Diego, CA, June 9-11, 1986. Come prepared to participate in a class discussion on the impact of the lessons learned in the paper on modern fighter aircraft development.

Figure References

Figure 8-1: W. H. Mason. Adapted by P. Raj.

Figure 8-2: Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979. Adapted. https://ntrs.nasa.gov/citations/19800005879

Figure 8-3: W. H. Mason. Adapted by P. Raj.

Figure 8-5: W. H. Mason. Adapted by P. Raj.

Figure 8-6: Ray, E. J., McKinney, L. W., and Carmichael, J. G., “Maneuver and Buffett Characteristics of Fighter Aircraft,” NASA TN D-7131. https://ntrs.nasa.gov/citations/19730017272

Figure 8-7: Figure 12 from Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979. https://ntrs.nasa.gov/citations/19800005879

Figure 8-8: Figure 14 from Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979. https://ntrs.nasa.gov/citations/19800005879

Figure 8-9: Bihrle, William, Jr., and Billy Barnhart, “Design Charts and Boundaries for Identifying Departure Resistant Fighter Configurations,” NADC-76154-30. Jul. 1978. https://apps.dtic.mil/sti/tr/pdf/ADA058043.pdf

Figure 8-10: Figure 13 from Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979. Adapted. https://ntrs.nasa.gov/citations/19800005879

Figure 8-11: Lapins, M., Martorella, P., Klein, R. W., Meyer, R. C., and Sturm, M. J., “Control Definition Study for Advanced Vehicles,” NASA CR-3738, Nov. 1983.

Figures 8-12: Wilson, C. M., “High Angle of Attack Design Considerations,” Seminar at Virginia Tech, Nov. 1996, via LMAS.

Figures 8-13: Wilson, C. M., “High Angle of Attack Design Considerations,” Seminar at Virginia Tech, Nov. 1996, via LMAS.

Figures 8-14: Wilson, C. M., “High Angle of Attack Design Considerations,” Seminar at Virginia Tech, Nov. 1996, via LMAS.

Figures 8-15: Wilson, C. M., “High Angle of Attack Design Considerations,” Seminar at Virginia Tech, Nov. 1996, via LMAS.


  1. Chambers, J. R., and Grafton, S. B., “Aerodynamics of Airplanes at High Angles of Attack,” NASA TM-74097, Dec. 1977. (Note: Developed for an AGARD-VKI Lecture Series given in April of 1977.)
  2. Chambers, J. R., “High-Angle-of-Attack Aerodynamics: Lessons Learned,” AIAA Paper 86-1774, 4th Applied Aerodynamic Conference, San Diego, CA, Jun. 9-11, 1986.
  3. Nguyen, L. T., “Control System Techniques for Improved Departure/Spin Resistance for Fighter Aircraft,” SAE Paper 791083, Aerospace Meeting, Dec. 1, 1979.
  4. Durham, W., Lutze, F., and Mason, W. H., “Kinematics and Aerodynamics of the Velocity Vector Roll,” Journal of Guidance, Control, and Dynamics, Vol. 17, No. 6, Nov.-Dec. 1994, pp. 1228–1233.
  5. Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979.
  6. Ogburn, M. E., Foster, J. V., Pahle, J. W., Wilson, R. J., and Lackey, J. B., “Status of the Validation of High-Angle-of-Attack Nose-Down Pitch Control Margin Design Guidelines,” AIAA Paper 93-3623, Atmospheric Flight Mechanics Conference, Monterey, CA, Aug. 9-11, 1993.
  7. Grafton, S., Chambers, J., and Coe, P., Jr., “Wind-Tunnel Free-Flight Investigation of a Model of a Spin Resistant Fighter Configuration,” NASA TN D-7716, Jun. 1974.
  8. Ray, E. J., McKinney, L. W., and Carmichael, J. G., “Maneuver and Buffet Characteristics of Fighter Aircraft,” NASA TN D-7131, Jul. 1973.
  9. Hamilton, W. T., Andrews, H., Chambers, J. R., Czinczenheim, J., Ettinger, R. C., Jeffries, R., Marconi, G. P., Foroni, C. P., Rabion, C., Ross, A. J., and Wunnenberg, H., “Manoeuver Limitations of Combat Aircraft,” AGARD AR-155A, Aug. 1979.
  10. Greer, H. D., “Summary of Directional Divergence Characteristics of Several High-Performance Aircraft Configurations,” NASA TN D-6993, Nov. 1972.
  11. Lutze, F. H., Durham, W. C., and Mason, W. H., “Unified Development of Lateral-Directional Departure Criteria,” Journal of Guidance, Control, and Dynamics, Vol. 19, No. 2, Mar.-Apr. 1996, pp. 489–493.
  12. Calico, R. A., Jr., “A New Look at Cnβ, dyn.,” Journal of Aircraft, Vol. 16, No. 12, Dec. 1979, pp. 895–896.
  13. Johnston, D. E. and Heffley, R. K., “Investigation of High AOA Flying Qualities Criteria and Design Guidelines,” AFWAL TR-81-3108, Dec., 1981.
  14. Johnston, D. E. and Heffley, R. K., “Investigation of High AOA Flying Qualities Criteria and Design Guidelines,” AFWAL TR-81-3108, Dec., 1981.
  15. Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979.
  16. Weissman, R., “Development of Design Criteria for Predicting Departure Characteristics and Spin Susceptibility of Fighter Type Aircraft,” AIAA Paper 72-984, 2nd Atmospheric Flight Mechanics Conference, Palo Alto, CA, Sept. 11-13, 1972.
  17. Bihrle, W., Jr., and Barnhart, B., “Design Charts and Boundaries for Identifying Departure Resistant Fighter Configurations,” NADC-76154-30, Jul. 1978.
  18. Chambers, J. R., “Overview of Stall/Spin Technology,” AIAA Paper 80-1580, Atmospheric Flight Mechanics Conference, Danvers, MA, Aug. 11-13, 1980.
  19. Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W., and Deal, P. L., “Simulator Study of Stall/Post-Stall Characteristics of a Fighter Airplane With Relaxed Static Stability,” NASA TP-1538, Dec. 1979.
  20. Lapins, M., Martorella, P., Klein, R. W., Meyer, R. C., and Sturm, M. J., “Control Definition Study for Advanced Vehicles,” NASA CR-3738, Nov. 1983.
  21. Clark, C., and Bernens, M., “High Angle-of-Attack Flight Characteristics of the YF-22,” AIAA Paper 91-3194, Aircraft Design Systems and Operations Meeting, Baltimore, MD, Sept. 23-25, 1991.
  22. Lamont, P. J., “Pressures Around an Inclined Ogive Cylinder with Laminar, Transitional, or Turbulent Separation.” AIAA Journal, Vol. 20, No. 11, Nov. 1982, pp. 1492–1499.
  23. Fisher, D. F., Cobleigh, B. R., Brooks, D., Hall, R. M., and Wahls, R., “Reynolds Number Effects at High Angles of Attack,” NASA TP-1998-206553, Jun. 1998.
  24. Grafton, S., Chambers, J. and Coe, P., Jr., “Wind-Tunnel Free-Flight Investigation of a Model of a Spin Resistant Fighter Configuration,” NASA TN D-7716, Jun. 1974.
  25. Mason, W. H., and Ravi, R., “Computational Study of the F-5A Forebody Emphasizing Directional Stability,” Journal of Aircraft, Vol. 31, No. 3, May-Jun. 1994, pp. 488–494.
  26. Ravi, R., and Mason, W. H., “Chine-Shaped Forebody Effects on Directional Stability at High-α,” Journal of Aircraft, Vol. 31, No. 3, May-Jun. 1994, pp. 480–487.
  27. Lapins, M., Martorella, P., Klein, R. W., Meyer, R. C., and Sturm, M. J., “Control Definition Study for Advanced Vehicles,” NASA CR-3738, Nov. 1983.

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