Optimisation-based flight control law clearance

Prathyush Menon, Declan Bates, Ian Postlethwaite

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    9 Citations (Scopus)

    Abstract

    This chapter describes the development of evolutionary and deterministic global optimisation methods for the clearance of nonlinear flight control laws for highly augmented aircraft. The algorithms are applied to the problem of evaluating a nonlinear handling qualities clearance criterion for the ADMIRE benchmark model. An optimisation-based approach for computing worst-case pilot input demands is also presented. Hybrid versions of the global algorithms, incorporating local gradient-based optimisation, are shown to significantly reduce computational complexity while at the same time improving global convergence properties. The proposed approach to flight clearance is shown to have significant potential for improving both the reliability and efficiency of the current industrial flight clearance process.
    Original languageEnglish
    Title of host publicationNonlinear Analysis and Synthesis Techniques for Aircraft Control
    EditorsDeclan Bates, Martin Hagström
    Place of PublicationLondon
    PublisherSpringer
    Pages259-300
    Number of pages360
    Volume365
    ISBN (Print)978-3540737186
    DOIs
    Publication statusPublished - 2007

    Publication series

    NameLecture Notes in Control and Information Sciences
    PublisherSpringer

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