Skip to main content
Log in

Flutter sensitivity analysis using residualization for actively controlled flight vehicles

  • Research Papers
  • Published:
Structural optimization Aims and scope Submit manuscript

Abstract

Analytical expressions for the derivatives of structural dynamics and control design criteria, with respect to structural and control design variables are extended to deal with residualized aeroservoelastic models. The mathematical model considered is a first-order time domain feedback system subject to model size reduction by means of dynamic residualization. The structure is represented by a number of structural vibration modes and the aerodynamics by minimum-state rational approximation functions. The MIMO control system couples control surface motion to the response of motion sensors located on the structure. In the optimum design process for aeroservoelastic systems, considerable computation time is spent on calculating the derivatives that define the sensitivity to design changes. The extended formulation and new techniques of this work make their calculation more efficient and further enhance multidisciplinary on-line studies. A realistic numerical example of the optimal design of an aeroservoelastic system comprising a carbon-composite wing with four control surfaces is used to assess the performance of this method.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abel, I.; Newsom, J.R.; Dunn, H.J. 1977: Application of two synthetic methods for active flutter suppression of an aeroelastic wind-tunnel model.AIAA Atm. Flight Mech. Conf., pp. 93–103

  • Adams, W.M., Jr.; Tiffany, S.H.; Newsom, J.R.; Peele, E.L. 1984: STABCAR — A program for finding characteristic roots of systems having transcedental stability matrices,NASA-TP 2165

  • Bisplinghoff, R.L.; Ashley, H. 1962:Principles of aeroelasticity. New York: Wiley

    Google Scholar 

  • Fox, R.J.; Kapoor, M.P. 1968: Rate of change of eigenvalues and eigenvectors.AIAA J. 6, 2426–2429

    Google Scholar 

  • Karpel, M. 1990a: Time-domain modelling using weighted unsteady aerodynamic forces.J. Guid. Control & Dyn. 13, 30–37

    Google Scholar 

  • Karpel, M. 1990b: Sensitivity derivatives of flutter characteristics and stability margins for aeroservoelastic design.J. Aircraft 27, 368–375

    Google Scholar 

  • Karpel, M. 1990c: Reduced order aeroelastic models via dynamic residualization.J. Aircraft 27, 449–455

    Google Scholar 

  • Karpel, M. 1992: Multidisciplinary optimization of aeroservoelastic systems using reduced size models.J. Aircraft 29, 939–946

    Google Scholar 

  • Karpel, M.; Brainin, L. 1995: Stress considerations in reduced-size aeroelastic optimization.AIAA J. 33, 716–722

    Google Scholar 

  • Mukhopadhyay, V.; Newsom, J.R.; Able, I. 1981: A method for obtaining reduced-order control laws for high-order systems using optimisation techniques.NASA-TP-1876

  • Rudisill, C.R.; Bhatia, K.G. 1971: Optimization of complex structures to satisfy flutter requirements.AIAA J. 9, 1487–1491

    Google Scholar 

  • Tiffany, S.H.; Adams, W.M., Jr. 1988: Nonlinear programming extension to rational approximation methods of unsteady aerodynamic forces.NASA-TP-2776

  • Wilkinson, K.; Lerner, E.; Taylor, R.F. 1976: Practical design of minimum-weight aircraft structures for strength and flutter requirements.J. Aircraft 13, 614–624

    Google Scholar 

  • Zole, A.; Karpel, M. 1994: Continuous gust response and sensitivity derivatives using state-space models.J. Aircraft 31, 1212–1214

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Herszberg, I., Karpel, M. Flutter sensitivity analysis using residualization for actively controlled flight vehicles. Structural Optimization 12, 229–236 (1996). https://doi.org/10.1007/BF01197361

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01197361

Keywords

Navigation