Abstract This chapter presents the theoretical background for several enhancements of the worst-case parameter search based clearance of flight control laws. The worst case search method aims to find combinations of parameters and flight conditions for which the clearance criteria are mostly violated or poorly satisfied. The two main aspects for the proposed enhancements are: (1) increasing the reliability of clearance by the application of global optimization methods in conjunction with established simulation and analysis tools; and (2) increasing the efficiency of clearance by applying parallel computation techniques. These enhancements are illustrated in Chapter 13 by the application of the selected optimization methods and parallelization techniques to several challenging clearance criteria.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Worst-Case Parameter Search Based Clearance Using Parallel Nonlinear Programming Methods


    Contributors:


    Publication date :

    2012-01-01


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






    Flight Control Law Clearance Using Worst-Case Inputs Under Parameter Uncertainty

    Diepolder, Johannes / Ben-Asher, Joseph Z. / Holzapfel, Florian | AIAA | 2020

    Free access

    Nonlinear Programming Methods for Worst-Case Pilot Input Determination

    Skoogh, Daniel / Berefelt, Fredrik | Springer Verlag | 2012


    ICAS2016_0073: FLIGHT CONTROL LAW CLEARANCE USING WORST-CASE INPUTS

    Diepolder, J. / Ben-Asher, J. Z. / Gabrys, A. et al. | British Library Conference Proceedings | 2016