Lone, Mudassir M.Whidborne, James F.Song, Sipeng2023-02-152023-02-152018-05https://dspace.lib.cranfield.ac.uk/handle/1826/19184This thesis presents a multi-objective evolutionary algorithm design of a longitudinal optimal controller for a large exible transport aircraft. The algorithm uses a mixed optimization approach based on a combination of Linear Quadratic Regulator(LQR) control and a Multi-Objective Genetic Algorithm (MOGA) to search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. The proposed approach offers a number of potential optimal solutions lying on or near the Pareto optimal front of competing objectives. The approach is explained in this thesis and some results are presented.en© Cranfield University, 2015. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.Multi-objective optimisationflexible aircraftMOGALQRhandling qualityalgorithm designThesis