Multi-objective optimal longitudinal flight control system design for large flexible transport aircraft

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dc.contributor.authorSong, Sipeng
dc.contributor.authorWhidborne, James F.
dc.contributor.authorLone, Mudassir
dc.contributor.authorMolina-Cristobal, Arturo
dc.date.accessioned2019-04-16T12:45:47Z
dc.date.available2019-04-16T12:45:47Z
dc.date.issued2018-11-01
dc.description.abstractThis paper presents a multi-objective evolutionary algorithm design of a longitudinal optimal controller for a large flexible 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 paper and some results are presented.en_UK
dc.identifier.citationSong S, Whidborne JF, Lone M and Molina-Cristobal A. Multi-objective optimal longitudinal flight control system design for large flexible transport aircraft. UKACC 12th International Conference on Control (CONTROL 2018), Sheffield, 5-7 September 2018en_UK
dc.identifier.isbn978-1-5386-2864-5
dc.identifier.urihttps://doi.org/10.1109/CONTROL.2018.8516783
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14089
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectFlight Controlen_UK
dc.subjectMultiobjective Controlen_UK
dc.subjectControl Designen_UK
dc.subjectHandling Qualitiesen_UK
dc.titleMulti-objective optimal longitudinal flight control system design for large flexible transport aircraften_UK
dc.typeConference paperen_UK

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