Optimisation-based flight control law clearance

Menon, Prathyush, Bates, Declan and Postlethwaite, Ian (2007) Optimisation-based flight control law clearance. In: Nonlinear Analysis and Synthesis Techniques for Aircraft Control. Lecture Notes in Control and Information Sciences, 365 (III). Springer, London, pp. 259-300. ISBN 978-3540737186

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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.

Item Type:	Book Section
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Sarah Howells
Date Deposited:	22 Nov 2012 10:32
Last Modified:	12 Oct 2019 22:26
URI:	http://nrl.northumbria.ac.uk/id/eprint/10347

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