Multi-objective climb path optimization for aircraft/engine integration using Particle Swarm Optimization

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dc.contributor.authorAntonakis, Aristeidis
dc.contributor.authorNikolaidis, Theoklis
dc.contributor.authorPilidis, Pericles
dc.date.accessioned2017-05-04T10:29:13Z
dc.date.available2017-05-04T10:29:13Z
dc.date.issued2017-04-30
dc.description.abstractIn this article, a new multi-objective approach to the aircraft climb path optimization problem, based on the Particle Swarm Optimization algorithm, is introduced to be used for aircraft–engine integration studies. This considers a combination of a simulation with a traditional Energy approach, which incorporates, among others, the use of a proposed path-tracking scheme for guidance in the Altitude–Mach plane. The adoption of population-based solver serves to simplify case setup, allowing for direct interfaces between the optimizer and aircraft/engine performance codes. A two-level optimization scheme is employed and is shown to improve search performance compared to the basic PSO algorithm. The effectiveness of the proposed methodology is demonstrated in a hypothetic engine upgrade scenario for the F-4 aircraft considering the replacement of the aircraft’s J79 engine with the EJ200; a clear advantage of the EJ200-equipped configuration is unveiled, resulting, on average, in 15% faster climbs with 20% less fuel.en_UK
dc.identifier.citationAntonakis A, Nikolaidis T, Pilidis P. (2017) Multi-objective climb path optimization for aircraft/engine integration using Particle Swarm Optimization. Applied Sciences, Volume 7, Issue 5, April 2017, Article number 469en_UK
dc.identifier.issn2076-3417
dc.identifier.urihttp://dx.doi.org/10.3390/app7050469
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11848
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectaircraft/engine integrationen_UK
dc.subjecttrajectory optimizationen_UK
dc.subjectmulti-objective optimizationen_UK
dc.subjectparticle swarm optimizationen_UK
dc.titleMulti-objective climb path optimization for aircraft/engine integration using Particle Swarm Optimizationen_UK
dc.typeArticleen_UK

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