Deterministic versus evolutionary optimisation methods for nonlinear robustness analysis of flight control laws

Menon, Prathyush, Bates, Declan and Postlethwaite, Ian (2007) Deterministic versus evolutionary optimisation methods for nonlinear robustness analysis of flight control laws. In: 2007 IEEE Congress on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 1910-1917. ISBN 978-1424413393

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Abstract

This paper considers the application of two different global optimisation approaches to the problem of analysing the robustness (flight clearance) of nonlinear flight control systems. The analysis employs a typical nonlinear clearance criterion used by the European aerospace industry together with a detailed simulation model of a high performance aircraft with a full authority control law. The deterministic optimisation algorithm used in the study is Dividing RECTangles (DIRECT), while the evolutionary algorithm is Differential Evolution. Both algorithms are hybridised with local gradient- based optimisation methods to improve convergence rates near the global solution. The reliability, computational complexity and efficiency of the two approaches are compared for this realistic engineering example, and the prospects for application of optimisation-based methods in the industrial flight clearance process are discussed.

Item Type:	Book Section
Additional Information:	Proceedings of CEC 2007:IEEE Congress on Evolutionary Computation, 2007, held in Singapore from 25-28 September 2007.
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Sarah Howells
Date Deposited:	05 Dec 2012 14:24
Last Modified:	12 Oct 2019 22:29
URI:	http://nrl.northumbria.ac.uk/id/eprint/10473

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