Worst case analysis of control law for re-entry vehicles using hybrid differential evolution Articles uri icon

authors

  • Menon, P.P.
  • Bates, D.G.
  • Postlethwaite, I.
  • MARCOS ESTEBAN, ANDRES
  • FERNANDEZ GARCIA, VICENTE
  • Bennani, S.
  • Chakraborty U.K.C.

publication date

  • January 2008

start page

  • 319

end page

  • 333

volume

  • 143

International Standard Serial Number (ISSN)

  • 1860-949X

abstract

  • The development and application of the differential evolution (DE) optimisation algorithm to the problem of worst-case analysis of nonlinear control laws for hypersonic re-entry vehicles is described. The algorithm is applied to the problem of evaluating a proposed nonlinear handling qualities clearance criterion for a detailed simulation model of a hypersonic re-entry vehicle (also known as a reusable launch vehicle (RLV)) having a full-authority nonlinear dynamic inversion (NDI) flight control law. A hybrid version of the differential evolution algorithm, incorporating local gradient-based optimisation, is also developed and evaluated. Comparisons of computational complexity and global convergence properties reveal the significant benefits which may be obtained through hybridisation of the standard differential evolution algorithm. The proposed optimisation-based approach to worst-case analysis is shown to have significant potential for improving both the reliability and efficiency of the flight clearance process for next generation RLV's. © 2008 Springer-Verlag Berlin Heidelberg.