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Flight control law design criteria for the transition phase for a tiltwing aircraft using multi-objective parameter synthesis

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Abstract

Aircraft in tiltwing configuration combine the advantages of helicopters, such as hovering and vertical take-off and landing capabilities (VTOL), with the advantages of conventional fixed-wing aircraft, in particular long endurance and economic flight at higher velocities. During the transition phase between hovering and aerodynamic horizontal forward flight the aerodynamic forces and moments, the direct forces due to propulsion system and propulsion-induced aerodynamic forces and moments have to be properly balanced. Tilting the wing from vertical to horizontal position (and vice versa) poses a significant change in configuration. In combination with the given large velocity range this influences the control device efficiency significantly. At the same time, the tilting of the wing provides an additional control parameter. During flight control law design for an unmanned tiltwing aircraft with focus on the transition phase multi-objective parameter analysis and synthesis provides a powerful means to identify interdependencies and sensitivities. Key aspects of the longitudinal motion during the transition phase are investigated in this study using the multi-objective parameter synthesis tool MOPS, developed by the DLR Institute of System Dynamics and Control. Aim of this paper is to analyze quality criteria with respect to design and evaluation of control laws during transition phase. To achieve these parameters forward velocity and pitch attitude controller are optimized with respect to control and disturbance responses. At the same time the overall robustness against selected uncertain model parameters, such as actuator dynamics is considered explicitly. Different quality criteria characterizing these motions are developed and discussed in detail.

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Abbreviations

D :

(N) Drag

H :

(m) Height

K :

Controller gains

L :

(N) Lift

M :

(Nm) Pitching moment

T :

(N) Thrust

T Taux :

(s) PT1 Time parameter

T t :

(s) Delay time

W:

(N) Weight

X :

(N) Force in x-direction

Z :

(N) Force in z-direction

q :

(rad/s) Pitch rate

r :

(rad/s) Yaw rate

t :

(s) Time

t s :

(s) Step size

u :

(m/s) Horizontal forward velocity

v :

(m/s) Horizontal lateral velocity

w :

(m/s) Vertical forward velocity

x :

X-axis along aircraft axis

y :

Y-axis along aircraft axis

z :

Z-axis along aircraft axis

α :

(°) Angle of attack

∆:

Difference

ζ :

(°) Rudder deflection

η :

(°) Elevator deflection

ξ :

(°) Aileron deflection

Φ :

(°) Roll angle

θ :

(°) Pitch angle

σ :

(°) Tilt angle

∆σon :

(°) σ backlash

T lon :

Longitudinal thrust distribution

main :

Index main propulsion system

aux :

Index auxiliary propulsion system

0 :

Index initial condition

a :

Index coordinate axis along free stream

c :

Index control

D :

Index derivative

g :

Index geodetic coordinate axis

I :

Index integral

P :

Index proportional

UAV:

Unmanned aerial vehicle

VTOL:

Vertical take-off and landing

References

  1. Fay, C.B.: A cursory analysis of the VTOL Tilt-Wing performance and control problems. Ann. NY. Acad. Sci. 107, 102–146 (1963)

    Article  Google Scholar 

  2. Dickeson, J.J., Miles, D., Cifdaloz, O., Wells, V.L., Rodriguez, A.A.: Robust LPV H gain-scheduled hover-to-cruise conversion for a tilt-wing rotorcraft in the presence of CG variations. Am. Control. Conf. 2007, 5266–5271 (2007)

    Google Scholar 

  3. Oner, K.T., Ertugrul, C., Sirimoglu, E., Hancer, C., Ayken, T., Unel, M.: LQR and SMC stabilization of a new unmanned aerial vehicle. In: International Conference on Intelligent Control, Robotics, and Automation. Venice (2009)

  4. Oner, K.T., Cetinsoy, E., Unel, M., Aksit, M.F., Kandemir, I., Gulez, K.: Dynamic model and control of a new quadrotor unmanned aerial vehicle with tilt-wing mechanism. Int. J. Appl. Sci Eng. Technol. 5, 2 (2009)

    Google Scholar 

  5. Ta, D.A., Fantoni, I., Lozano, R.: Modeling and control of a tilt tri-rotor airplane. Am. Control. Conf. 131(136), 27–29 (2012)

    Google Scholar 

  6. Joos, H.D.: A methodology for multi-objective design assessment and flight control synthesis tuning. Aerosp. Sci. Technol. 3(3), 161–176 (1999)

    Article  MATH  Google Scholar 

  7. Looye, G., Joos, H.-D.: Design of robust dynamic inversion control laws using multi-objective optimization.In: Proceedigs of AIAA Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics (2001)

  8. Lambrets, P., Bennani, S., Looye, G., Moormann, D.: The RCAM design challenge problem description. Robust flight control: a design challenge. Lecture notes in control and information sciences, pp. 149–169. Springer, The Netherland (1997)

    Chapter  Google Scholar 

  9. Joos, H.-D.: Multi-objective parameter synthesis (MOPS). In: Robust flight control: a design challenge. Lecture notes in control and information sciences. Vol 224, pp 199–217. Springer, Berlin (1997)

  10. Looye, G.: Design of Autoland Controller functions with Multiobjective Optimization. J. Guid. Control. Dyn. 29, 2 (2006)

    Article  Google Scholar 

  11. Giacomán-Zarzar, M., Ramirez-Mendoza, R., Fleming, P.J., Griffin, I., Molina-Cristóbal A.: Robust \(H_{\infty }\) controller design for aircraft lateral dynamics using multi-objective optimization and genetic algorithms. In: Proceedings of the 17th IFAC World Congress, Seoul, Korea (2008)

  12. Adra, S. F., Hamody, A. I., Griffin, I., Fleming, P.J.: A hybrid multi-objective evolutionary algorithm using an inverse neural network for aircraft control system design. In: Proceeding of the 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, 1, 1–8, (2005)

  13. Tabak, D., Schy, A.A., Giesy, D.P., Johnson, K.G.: Application of multiobjective optimization in aircraft control systems design. Automatica 15(5), 595–600 (1979)

    Article  MATH  Google Scholar 

  14. Holsten, J., Ostermann, T., Moormann, D.: Design and wind tunnel tests of a tiltwing UAV. CEAS. Aeronaut. J. 1, 2011 (2011)

    Google Scholar 

  15. Ostermann, T., Holsten, J., Dobrev, Y., Moormann, D.: Control concept of a tiltwing uav during low speed manoeuvring. In:Proceeding of the 28th International Congress of the Aeronautical Sciences: ICAS Brisbane, Australia (2012)

  16. Ostermann, T., Holsten, J., Moormann, D.: Entwicklung eines autonom operierenden Tiltwing-UAV für den Einsatz in selbstorganisierenden Drohnenschwärmen. Deutscher Luft- und Raumfahrtkongress, Tagungsband (2010)

    Google Scholar 

  17. Dobrev, Y., Ostermann, T, Holsten, J., Moormann, D.: Investigation of the Effects of Propeller Slipstream and Tilt angle on the Control Device Effectiveness of a Tiltwing Aircraft, Deutscher Luft- und Raumfahrtkongress. Tagungsband (2012)

  18. Rohde, S., Goddemeier, N., Wietfeld, C., Steinicke, F., Hinrichs, K., Ostermann, T., Holsten, J., Moormann, D.: AVIGLE: a system of systems-avionic digital service platform based on micro unmanned aerial vehicles. In Proceeding of the IEEE International Conference on Systems. Man. Cybern. (SMC), Istanbul, Turkey (2010)

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Acknowledgments

Our work has been conducted within the AVIGLE project (Avionic Digital Service Platform) which is part of the Hightech.NRW research program funded by the German ministry of Innovation, Science and Research of North Rhine-Westfalia and the European Union. We thank all participants for their work and contributions to the AVIGLE project. Furthermore the Authors want to thank H.-D. Joos and J. Bals from the Institute of System Dynamics and Control from the DLR Robotics and Mechatronics Center for their support and the provision of the multi-objective parameter synthesis (MOPS) environment.

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Correspondence to J. Holsten.

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This paper is based on a presentation at the German Aerospace Congress, September 10–12, 2013, Stuttgart, German.

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Holsten, J., Moormann, D. Flight control law design criteria for the transition phase for a tiltwing aircraft using multi-objective parameter synthesis. CEAS Aeronaut J 6, 17–30 (2015). https://doi.org/10.1007/s13272-014-0126-z

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