Skip to main content

Unsteady Applications: Thrust Optimization, Stability and Trim

  • Chapter
  • First Online:
Fundamentals of Modern Unsteady Aerodynamics
  • 700 Accesses

Abstract

The unsteady aerodynamics related material developed in the previous chapter for the practical applications is going to be utilized in this chapter for the thrust optimization and the flight stability of bodies having flapping wings.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Berman, G.J., Wang, Z.J.: Energy-minimazing kinematics in hovering flight. J. Fluid Mech. 582, 153–168 (2007)

    Article  MathSciNet  Google Scholar 

  • Bisplinghoff, R.L., Ashley, H., Halfman, R.L.: Aeroelasticity, pp. 393–394. Dover Publications Inc., New York (1996)

    MATH  Google Scholar 

  • Bulut, J., Karakas, F., Fenercioglu, I., Gulcat, U.: A numerical and experimental study for aerodynamic thrust optimization. J. Aeronaut. Space Technol. 9, 55–62 (2016). Turkish Air Force Academy

    Google Scholar 

  • Garrick, I.E.: Propulsion of a Flapping and Oscillating Airfoil, NACA R-567 (1936)

    Google Scholar 

  • Goman, M., Khrabrov, A.: State-space representation of aerodynamic characteristics of an aircraft in high angles of attack. J. Aircraft 31(5), 1109–1115 (1994)

    Article  Google Scholar 

  • Gulcat, U.: Propulsive force of a flexible flapping thin airfoil. J. Aircraft 46, 465–473 (2009)

    Google Scholar 

  • Gulcat, U.: (2011) Shortcuts in unsteady and flapping wing aerodynamics, Invited Lecture, AIAC’2011–002, September 14-16 2011, METU, Ankara, TURKEY

    Google Scholar 

  • Gulcat, U.: Fundamentals of Modern Unsteady Aerodynamics, Second Ed. Springer, Verlag, p. 298 (2016)

    Google Scholar 

  • Gulcat, U.: Aerodynamic thrust optimization of a flapping thin airfoil. In: 9th Ankara International Aerospace Conference, 20–22 September 2017, METU Ankara TURKEY, AIAC-2017-27 (2017a)

    Google Scholar 

  • Gulcat, U.: State-space representation of flapping wings in Hover. In: 9th Ankara International Aerospace Conference, 20–22 September 2017-METU, Ankara TURKEY, AIAC-2017-60 (2017b)

    Google Scholar 

  • Gulcat, U.: Aerodynamic thrust optimization with nonlinear modeling for the leading edge vortex of a flapping wing. In: 10th Ankara International Aerospace Conference, 18–20 September 2019-METU, Ankara TURKEY, AIAC-2019-27 (2019a)

    Google Scholar 

  • Gulcat, U.: Aerodynamic stability analysis of a flapping wing in hover using state-space representation. In: 10th Ankara International Aerospace Conference, 18–20 September 2019-METU, Ankara TURKEY, AIAC-2019-90 (2019b)

    Google Scholar 

  • Izraelevitz, J.S., Quiang, Z., Triantafyllou, M.S.: State-space adaptation of unsteady lifting line theory twisting/flapping wings of finite span. AIAA J. 55(4), 1279–1294 (2017)

    Article  Google Scholar 

  • Jones, K.D., Dohring, C.M., Platzer, M.F.: Experimental and computational investigation of Knoller-Betz effect. AIAA J. 36, 1240–1246 (1998)

    Google Scholar 

  • Kaya, M., Tuncer, I.H.: Nonsinusoidal path optimization of a flapping airfoil. AIAA J. 45, 2075–2082 (2007)

    Google Scholar 

  • Katzmayer, R.: Effect on Periodic Changes of Angle of Attack on Behavior of Airfoils, NACA TM-147 (1922)

    Google Scholar 

  • Leishman, G.: Principle of Helicopter Aerodynamics, pp. 341–342. Cambridge University Press (2000)

    Google Scholar 

  • Mouy, A., Rossi, A., Taha, H.E.: Coupled unsteady aero-flight dynamics of hovering insects/flapping micro air vehicles. J. Aircraft 54(5), 1738–1749 (2017)

    Article  Google Scholar 

  • Nelson, R.C.: Flight Stability and Automatic Control, vol. 2, p. 217. McGraw-Hill, New York (1998)

    Google Scholar 

  • Platzer, M.F., Jones, K.D., Young, J., Lai, C.S.: Flapping-wing aerodynamics: progress and challenges. AIAA J. 46, 2136–2149 (2008)

    Google Scholar 

  • Reich, G.W., Eastep, F.E., Altman, A., Alberani, R.: Transient poststall aerodynamic modeling for extreme maneuvers in micro air vehicles. J. Aircraft 48(2), 403–411 (2011)

    Article  Google Scholar 

  • Taha, H.E., Hajj, M.R., Beran, P.S.: State-space representation of the unsteady aerodynamics of flapping flight. Aerosp. Sci. Technol. 34, 1–11 (2014a)

    Article  Google Scholar 

  • Taha, H.E., Hajj, M.R., Nayfeh, A.H.: Longitudinal flight dynamics hovering MAVs/Insects. J. Guid. Control Dyn. 37(3), 970–978 (2014b)

    Article  Google Scholar 

  • Tuncer, I.H., Kaya, M.: Optimization of flapping airfoils for maximum thrust and propulsive efficiency. AIAA J. 43, 2329–2336 (2005)

    Google Scholar 

  • Uhlig, D.V., Selig, M.S.: Modeling micro air vehicle aerodynamics in unsteady high angle of attack flight. J. Aircraft 54(3), 1064–1075 (2017)

    Article  Google Scholar 

  • Walker, W.P.: Optimization of harmonically deforming thin airfoils and membrane wings for optimum thrust and efficiency, Ph.D. Thesis, Virgina Polytechnic Institute and State University, May 2012

    Google Scholar 

  • Walker, W.P., Patil, M.J.: Unsteady aerodynamics of deformable thin airfoils. J. Aircraft 51, 1673–1680 (2014)

    Google Scholar 

  • Wang, J.Z.: Vortex shedding and frequency selection in flapping flight. J. Fluid Mech. 410, 323–341 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ülgen Gülçat .

Appendix

Appendix

Appendix 16 provides the necessary information about the numerical values of I1, I2 and \( \bar{b} \) to be used in the following equation

$$ C_{L} (t) = \frac{{l_{cr} (t) + l_{cp} (t) + l_{nc} (t)}}{{\rho U_{m}^{2} \,S/2}} $$
(9.40)

The variation of the total lift coefficient for one period is shown in (Fig. 9.13) for the thin airfoil and for the wing.

Fig. 9.13
figure 13

Variation of the total lift coefficient for a period

Using (Fig. 9.13) and Eq. (9.40) for a period of the motion we get the result of the following integration as

$$ \bar{C}_{L} = \frac{1}{T}\int\limits_{T}^{2T} {C_{L} (t)\,dt} = 0.75 $$
(9.41)

Accordingly, the lifting force generated for both wings reads as\( F = 2\bar{C}_{L} \rho U_{m}^{2} \,S/2 = 7.11\,\upmu {\text{N}} \),

Here, the flapping frequency for the wing is f = 240 Hz which is sufficient to lift the fruit fly which weighs about \( W = 7.06\,\upmu {\text{N}} \) (Berman and Wang 2007).

The wing sweep here given by \( \phi = - 75^{o} \cos \omega \,t \), and the change of the pitch angle is provided with the arctangent and sine functions as shown in (Fig. 9.14). The free stream velocity span -wise variation is given by \( \dot{\phi }\,r = \bar{\phi }\omega \,r\sin \omega \,t \).

Fig. 9.14
figure 14

Sweep angle: \( - 75^{^\circ } < \phi < 75^{^\circ } \), and the pitch angle, \( 40^\circ < \eta < 140^\circ \), variations

Flight Stability: Study of the longitudinal stability of a body with a flapping wing requires the coupled treatment of unsteady aerodynamics with the parameters of the flight mechanics. Shown in (Fig. 9.15) are the necessary parameters to prescribe the hovering body under the gravity where the longitudinal and vertical velocity perturbation velocities are u and v respectively with also are the pitch rate of q and the pitch angle \( \theta \). The dynamic equilibrium equation using the notation of Nelson (1998) reads as follows

Fig. 9.15
figure 15

Reference frame and the parameters used for the flight stability

$$ \left( \begin{aligned} {\dot{u}} \hfill \\ {\dot{w}} \hfill \\ {\dot{q}} \hfill \\ {\dot{\theta }} \hfill \\ \end{aligned} \right) = \left( \begin{aligned} - qw - g\sin \theta \hfill \\ \,\,qu + g\cos \theta \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,q \hfill \\ \end{aligned} \right) + \left( \begin{aligned} X/m \hfill \\ Z/m \hfill \\ M/I_{y} \hfill \\ \,\,\,\,\,\,0 \hfill \\ \end{aligned} \right) $$
(9.42)

Here, X, Z and M are the horizontal and the vertical forces and the pitching moment respectively, and m is the mass, Iy is the rotational moment of inertia and finally g is the gravitational acceleration.

Unsteady aerodynamics of a flapping wing gives the lift, moment in terms of the pitch and the pitch rate. Here, we implement the state variables concept, x1 and x2, with two ordinary differential equations in time involving the pitch and its rate:

$$ \,\,\,\dot{x}_{1} (t) = \frac{{b_{1} U_{ref} }}{{\bar{b}}}\left[ { - x_{1} (t) + a_{1} \dot{\phi }(t)C_{L} (\alpha ,t)} \right]\,\,\,\,and\,\,\,\dot{x}_{2} (t) = \frac{{b_{1} U_{ref} }}{{\bar{b}}}\left[ { - x_{2} (t) + a_{1} \dot{\alpha }(t)} \right]\,\,\, $$

If we let the sate variables interact with the equation of motion, (9.42), the perturbation equations for the system involves the rate of 6 variables,\( \dot{\chi } = \left( {\dot{u}\,\,\,\dot{w}\,\,\,\dot{q}\,\,\,\,\dot{\theta }\,\,\,\,\dot{x}_{1} \,\,\dot{x}_{2} \,} \right)^{T} \), and their stability derivative matrix as follows

$$ \left( \begin{aligned} {\dot{u}} \hfill \\ {\dot{w}} \hfill \\ {\dot{q}} \hfill \\ {\dot{\theta }} \hfill \\ \dot{x}_{1} \hfill \\ \dot{x}_{2} \hfill \\ \end{aligned} \right) = \left( \begin{aligned} - qw - g\sin \theta \hfill \\ \,\,\,qu + g\cos \theta \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,q \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \end{aligned} \right) + \left( \begin{aligned} X_{0} \hfill \\ Z_{0} \hfill \\ M_{0} \hfill \\ \,\,\,0 \hfill \\ X_{{1_{0} }} \hfill \\ \,\,0 \hfill \\ \end{aligned} \right) + \left[ \begin{aligned} X_{u} \,\,X_{w} \,X_{q} \,\,\,\,\,0\,\,\,\,X_{{x_{1} }} X_{{x_{2} \,}} \hfill \\ Z_{u} \,\,\,\,Z_{w} \,\,\,Z_{q} \,\,\,\,\,0\,\,\,\,\,Z_{{x_{1} }} \,\,Z_{{x_{2} }} \hfill \\ M_{u} \,\,M_{w} \,\,M_{q} \,0\,\,\,M_{{x_{1} }} \,M_{{x_{2} }} \hfill \\ \,\,\,0\,\,\,\,\,\,\,0\,\,\,\,\,\,\,0\,\,\,\,\,\,0\,\,\,\,\,0\,\,\,\,\,\,\,0 \hfill \\ \,X_{{1_{u} }} \,X_{{1_{w} }} \,X_{{1_{q} }} \,\,0\,\,\,X_{{1_{{x_{1} }} }} \,\,0 \hfill \\ \,\,\,0\,\,\,\,\,\,\,0\,\,\,\,\,\,X_{{2_{q} }} \,0\,\,\,\,\,0\,\,\,\,\,X_{{2_{{x_{2} }} }} \hfill \\ \end{aligned} \right]\left( \begin{aligned} u \hfill \\ w \hfill \\ q \hfill \\ 0 \hfill \\ x_{1} \hfill \\ x_{2} \hfill \\ \end{aligned} \right) $$
(9.43)

In Eq. (9.43), the column vector expressed with subscript o shows the effect of pitch rate and the subscript for the coefficient matrix indicates the derivatives (Appendix 17). The horizontal sectional force is shown by, X’, and the vertical sectional force by, Z’. The sectional lift l and the drag d are employed to give these horizontal and vertical forces as follows

$$ X^{\prime} = - {\rm sgn} (\dot{\phi })(d - l\alpha_{i} )\,\,\,\,and\,\,\,Z^{\prime} = - (l + d\alpha_{i} )\,\,,\,\,\,\alpha_{i} \,induced\,\,angle\,\,of\,attack $$
(9.44a,b)

Here, two differen contributions to the sectional forces are possible: (i) from pitching lP,

(ii) from pitch rate lPr, which are determined with x1 and x2. On the other hand the induced angle of attack is small and can be approximated as

$$ \,\,\,\alpha_{i} \cong \frac{{w{}_{eff}}}{\left| U \right|}\,,\,\,\,\,\,\,and\,\,\,\,w_{eff} = w - q(r\sin \phi + a),\,\,\,\,\,\,U \cong r\dot{\phi } + u\cos \phi $$

The perturbation velocities u, w and the pitch rate q, all contribute to the sectional lift coefficient in terms of pitch and the pitch rate. Considering the effective free stream velocities, the sectional lift forces read as

$$ \begin{aligned} \,l_{P} = & \rho (r\dot{\phi } + u\cos \phi )\text{sgn} (\dot{\phi })\left[ {b(r\dot{\phi } + u\cos \phi )A(\sin 2\eta + 2\alpha_{i} \cos 2\eta )\varPhi (0) + x_{1} (t)} \right], \, \text{and} \\ \,l_{\Pr } = & \rho (r\dot{\phi } + u\cos \phi )\text{sgn} (\dot{\phi })\pi b^{2} \left[ {q\cos \phi + (1/2 - a)q\cos \phi \,\varPhi (0) + x_{2} (t)} \right]\, \end{aligned} $$
(9.45a,b)

Similarly, the sectional drag becomes

$$ \,d_{P} = \rho (r\dot{\phi } + u\cos \phi ){\rm sgn} (\dot{\phi })\left[ {b(r\dot{\phi } + u\cos \phi )A(\sin^{2} \eta + \alpha_{i} \sin 2\eta )\varPhi (0) + x_{1} (t)} \right]\, $$

Since the induced angle of attack is small the second order terms are neglected, and this gives the induced lift and the drag as follows

$$ \,l_{P} \alpha_{i} = \rho \,w_{eff} \left[ {brA\dot{\phi }\sin 2\eta \,\varPhi (0)} \right],\,\,\,\,\,\,\,\,\,d_{P} \alpha_{i} = \rho \,w_{eff} \left[ {2brA\dot{\phi }\sin^{2} \eta \,\varPhi (0)} \right] $$
(9.46a,b)

Averaging

Equation (9.43) is now utilized for the stability analysis of the time dependent periodic system. For this purpose, we take the time average of the quantities for a period of time T as

$$ \,\bar{\dot{\chi }} = f(\bar{\chi }) + h(\bar{\chi }),\,\,\,\,here\,\,\,\,h(\bar{\chi }) = \frac{1}{T}\int\limits_{0}^{T} {h(\chi ,t)dt} $$

Now, the averaged system reads as

$$ \left( \begin{aligned} {\bar{\dot{u}}} \hfill \\ {\bar{\dot{w}}} \hfill \\ {\bar{\dot{q}}} \hfill \\ {\bar{\dot{\theta }}} \hfill \\ \Delta \bar{\dot{x}}_{1} \hfill \\ \bar{\dot{x}}_{2} \hfill \\ \end{aligned} \right) = \left( \begin{aligned} - \bar{q}\bar{w} - g\sin \bar{\theta } \hfill \\ \,\,\,\bar{q}\bar{u} + g\cos \bar{\theta } \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \end{aligned} \right) + \left( \begin{aligned} \bar{X}_{0} + \bar{X}_{{x_{1} }} \bar{x}_{1eq} \hfill \\ \bar{Z}_{0} + \bar{Z}_{{x_{1} }} \bar{x}_{1eq} \hfill \\ \bar{M}_{0} + \bar{M}_{{x_{1} }} \bar{x}_{1eq} \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \,\,\,\,\,\,\,\,\,\,\,\,0 \hfill \\ \end{aligned} \right) + \left[ \begin{aligned} \bar{X}_{u} \,\,\bar{X}_{w} \,\bar{X}_{q} \,\,\,\,\,0\,\,\,\,\bar{X}_{{x_{1} }} \bar{X}_{{x_{2} \,}} \hfill \\ \bar{Z}_{u} \,\,\,\,\bar{Z}_{w} \,\,\,\bar{Z}_{q} \,\,\,\,\,0\,\,\,\,\,\bar{Z}_{{x_{1} }} \,\,\bar{Z}_{{x_{2} }} \hfill \\ \bar{M}_{u} \,\,\bar{M}_{w} \,\,\bar{M}_{q} \,0\,\,\,\bar{M}_{{x_{1} }} \,\bar{M}_{{x_{2} }} \hfill \\ \,\,\,0\,\,\,\,\,\,\,0\,\,\,\,\,\,\,1\,\,\,\,\,\,0\,\,\,\,\,0\,\,\,\,\,\,\,0 \hfill \\ \,\bar{X}_{{1_{u} }} \,\bar{X}_{{1_{w} }} \,\bar{X}_{{1_{q} }} \,\,0\,\,\,\bar{X}_{{1_{{x_{1} }} }} \,\,0 \hfill \\ \,\,\,0\,\,\,\,\,\,\,0\,\,\,\,\,\,\bar{X}_{{2_{q} }} \,0\,\,\,\,\,0\,\,\,\,\,\bar{X}_{{2_{{x_{2} }} }} \hfill \\ \end{aligned} \right]\left( \begin{aligned} \,\bar{u} \hfill \\ \,\bar{w} \hfill \\ \,\bar{q} \hfill \\ \,\bar{\theta } \hfill \\ \Delta \bar{x}_{1} \hfill \\ \,\bar{x}_{2} \hfill \\ \end{aligned} \right) $$
(9.47)

Here, \( \Delta \bar{\dot{x}}_{1} = \bar{x}_{1} - \bar{x}_{1eq} \,\,and\,\,\,\bar{x}_{1eq} = - \bar{X}_{{1_{0} }} /\bar{X}_{{1_{x1} }} \, \). The algebraic Eq. (9.47) are solved for \( \left( {\bar{u} = 0\,,\,\,\bar{w} = 0,\,\,\,\bar{q} = 0,\,\,\,\,\bar{\theta } = 0} \right) \) in hover.

Trim in hover: Time averaged equation of motion is now implemented for the trimming of the hovering body while flapping its wings. For the wing flapping, there are two different types; (i) symmetric flapping, and (ii) anti-symmetric flapping.

  1. (i)

    Trim with symmetric flapping

For the sake of simplicity, we choose the time dependent sweeping motion as a saw-tooth shaped which is expressed as Mouy et al. (2017)

$$ \phi (t) = \left\{ \begin{aligned} \,\,\,\,\,4\bar{\phi }/T(t - T/4),\,\,\,\,\,\,\,0 \le t \le T/2 \hfill \\ - 4\bar{\phi }/T(t - 3T/4),\,\,\,\,\,T/2 \le t \le T\, \hfill \\ \end{aligned} \right. $$

During the sweeping motion of the wing, a piecewise constant angle of attack is considered as follows

$$ \eta (t) = \left\{ \begin{aligned} \,\,\,\,\bar{\alpha },\,\,\,\,\,\,\,\,\,\,\,\,0 \le t \le T/2 \hfill \\ \,\,\,\pi - \bar{\alpha },\,\,\,\,\,T/2 \le t \le T\, \hfill \\ \end{aligned} \right. $$

During the symmetric sweeping, the full unsteady treatment gives a non-zero value for the X force component, whereas the quasi-steady approach yields 0 result (Mouy et al. 2017). The full unsteady treatment results in Eq. (9.47) for the x direction, in terms of averaged values, as follows (Appendix 18):

$$ \bar{X}_{{x_{1} }} \bar{x}_{1eq} = 8\frac{{\rho \,I_{10} }}{{mT^{2} }}\bar{r}2\bar{b}\bar{\phi }\sin \bar{\phi }Aa_{1} \sin 2\bar{\alpha } $$
(9.48)

The right hand side of Eq. (9.48) is 0 only for the average sweep or the angle of attack, \( \bar{\phi } = 0\,\,\,or\,\,\,\bar{\alpha } = 0 \). This means trimming is possible only for the no sweep or no lift! For this reason we have to resort to antisymmetric sweep.

  1. (ii)

    Trim with anti-symmetric flapping

In order to achieve trim during hover the sweeping motion is modified as follows:

$$ \phi (t) = \left\{ \begin{aligned} \bar{\phi }_{0} + \,\,4\bar{\phi }/T(t - T/4),\,\,\,\,\,\,\,0 \le t \le T/2 \hfill \\ \bar{\phi }_{0} - 4\bar{\phi }/T(t - 3T/4),\,\,\,\,\,T/2 \le t \le T\, \hfill \\ \end{aligned} \right. $$

The angle of attack:

$$ \eta (t) = \left\{ \begin{aligned} \,\,\,\,\bar{\alpha }_{d} ,\,\,\,\,\,\,\,\,\,\,\,\,0 \le t \le T/2 \hfill \\ \,\,\,\pi - \bar{\alpha }_{u} ,\,\,\,\,\,T/2 \le t \le T\, \hfill \\ \end{aligned} \right. $$

The trim equations then read:

$$ \begin{aligned} \bar{X}_{0} + \bar{X}_{x1} \bar{X}_{1eq} = 0 \hfill \\ \bar{Z}_{0} + \bar{Z}_{x1} \bar{X}_{1eq} = - g \hfill \\ \bar{M}_{0} + \bar{M}_{x1} \bar{X}_{1eq} = 0 \hfill \\ \end{aligned} $$
(9.49a,b,c)

In Eq. (9.49a,b,c), there are 3 equations and 3 unknowns; \( \,\bar{\alpha }_{d} ,\,\,\bar{\alpha }_{u} \,and\,\bar{\phi }_{0} \). We use the time averaged values for the stability derivatives to obtain following non-linear expressions (Appendix 3).

Force balance in X:

$$ \,\sin 2\bar{\alpha }_{d} + \,\sin 2\bar{\alpha }_{u} = - \frac{{I_{21} }}{{I_{10} \bar{r}\bar{b}}}(\sin^{2} \bar{\alpha }_{d} - \sin^{2} \bar{\alpha }_{u} )(0.6 - a_{1} )/a_{1} $$
(9.50)

Force balance in Z:

$$ \sin 2\bar{\alpha }_{d} + \,\sin 2\bar{\alpha }_{u} = \frac{{mgT^{2} }}{{4\rho A(0.43I_{21} + 0.17I_{10} \bar{r}2\bar{b})\bar{\phi }^{2} }} $$
(9.51)

Moment balance in M:

$$ \begin{aligned} a\sin \bar{\phi }\cos \bar{\phi }\left[ {0.43I_{22} (\sin \bar{\alpha }_{d} - \sin \bar{\alpha }_{u} ) - 0.17I{}_{11}\bar{r}2\bar{b}(\sin 2\bar{\alpha }_{d} + \,\sin 2\bar{\alpha }_{u} )} \right]x \hfill \\ (\cos \bar{\alpha }_{d} + \sin \bar{\alpha }_{d} - \cos \bar{\alpha }_{u} + \sin \bar{\alpha }_{u} ) + 0.43x_{cg} \bar{\phi }(\sin 2\bar{\alpha }_{d} + \,\sin 2\bar{\alpha }_{u} )(I{}_{21} - 2I_{10} \bar{r}2\bar{b}) \hfill \\ + \sin \bar{\phi }(0.43I_{31} \cos \bar{\phi }_{0} - 0.17I_{20} 4\bar{r}\bar{b}\sin \bar{\phi }_{0} )(\sin 2\bar{\alpha }_{d} + \,\sin 2\bar{\alpha }_{u} ) = 0 \hfill \\ \end{aligned} $$
(9.52)

Here, \( a \) is distance between the pitch point and the quarter chord.

We solve for X and Z force balances (9.50) and (9.51), to obtain \( \,\bar{\alpha }_{d} \,and\,\,\bar{\alpha }_{u} \, \) in terms of the sweep angle and the period, \( \bar{\phi }\,\,and\,\,T \), respectively. Hence, we can calculate the angle of attack for the forward and backward sweeps. Afterwards, by the aid of (9.52) the initial sweep angle \( \bar{\phi }_{0} \) is determined to complete the solution for the trim in hover.

Trimming of fruit-fly in hover: The pertinent parameters for a fruit-fly is provided as follows (Berman and Wang 2007):

m = 0.72 mg, f = 254 Hz, \( \,\bar{\phi } = 75^{\circ} \), a = 0, xcg = 0.5, I10 = 4.89, I11 = 3.30, I21 = 4.69, I20 = 7.29, I22 = 3.32, I31 = 7.36

From the simultaneous solution of (9.50), (9.51) and (9.52), the anti-symmetric trim results are obtained as follows \( \,\bar{\alpha }_{d} \) = 34.3°, \( \,\bar{\alpha }_{u} \) = 55.6° and \( \bar{\phi }_{0} \) = 4°

For this case the angle of attack differs for the forward and the backward sweeps. The angle of attack becomes 34.3° for the forward sweep and 55.6° in backward sweep. During sweeping the forward sweep angle changes −71° < \( \phi (t) \) < 79° and in backward sweep 79° > \( \phi (t) \) > −71°. The time change of sweep and angles of attack are given for both symmetric and antisymmetric cases in (Fig. 9.16). The deviation from the symmetric case is about 5° for the angle of attack and 4° for the sweep, which can be applied easily for the control purposes.

Fig. 9.16
figure 16

Trimmed antisymmetric sweep and angle of attack____, un-trimmable symmetric sweep

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gülçat, Ü. (2021). Unsteady Applications: Thrust Optimization, Stability and Trim. In: Fundamentals of Modern Unsteady Aerodynamics. Springer, Cham. https://doi.org/10.1007/978-3-030-60777-7_9

Download citation

Publish with us

Policies and ethics