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dc.contributor.authorGladwin, Daniel
dc.contributor.authorStewart, Paul
dc.contributor.authorStewart, Jill
dc.date.accessioned2017-07-19T15:23:40Z
dc.date.available2017-07-19T15:23:40Z
dc.date.issued2011-07-13
dc.identifier.citationGladwin, D. et al (2011) 'A novel genetic programming approach to the design of engine control systems for the voltage stabilization of hybrid electric vehicle generator outputs', Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 225 (10):1334en
dc.identifier.issn09544070
dc.identifier.doi10.1177/0954407011407414
dc.identifier.urihttp://hdl.handle.net/10545/621757
dc.description.abstractThis paper describes a Genetic Programming based automatic design methodology applied to the maintenance of a stable generated electrical output from a series-hybrid vehicle generator set. The generator set comprises a three-phase AC generator whose output is subsequently rectified to DC. The engine/generator combination receives its control input via an electronically actuated throttle, whose control integration is made more complex due to the significant system time delay. This time delay problem is usually addressed by model predictive design methods, which add computational complexity and rely as a necessity on accurate system and delay models. In order to eliminate this reliance, and achieve stable operation with disturbance rejection, a controller is designed via a Genetic Programming framework implemented directly in Matlab and, particularly, Simulink. The principal objective is to obtain a relatively simple controller for the time-delay system which does not rely on computationally expensive structures, yet retains inherent disturbance rejection properties. A methodology is presented to automatically design control systems directly upon the block libraries available in Simulink to automatically evolve robust control structures.
dc.description.sponsorshipThe authors would like to acknowledge the support provided by Lotus Engineering Ltd, and EPSRC Grant: GR/S97507/01 ‘Zero Constraint Free Piston Energy Converter’.en
dc.language.isoenen
dc.publisherInstitution of Mechanical Engineersen
dc.relation.urlhttp://journals.sagepub.com/doi/10.1177/0954407011407414en
dc.rightsArchived with thanks to Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineeringen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectModel reference controlen
dc.subjectTime delay systemsen
dc.subjectHybrid vehiclesen
dc.subjectGenetic programmingen
dc.subjectGenetic algorithmsen
dc.titleA novel genetic programming approach to the design of engine control systems for the voltage stabilization of hybrid electric vehicle generator outputsen
dc.typeArticleen
dc.identifier.eissn20412991
dc.contributor.departmentUniversity of Sheffielden
dc.contributor.departmentUniversity of Lincolnen
dc.identifier.journalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineeringen
html.description.abstractThis paper describes a Genetic Programming based automatic design methodology applied to the maintenance of a stable generated electrical output from a series-hybrid vehicle generator set. The generator set comprises a three-phase AC generator whose output is subsequently rectified to DC. The engine/generator combination receives its control input via an electronically actuated throttle, whose control integration is made more complex due to the significant system time delay. This time delay problem is usually addressed by model predictive design methods, which add computational complexity and rely as a necessity on accurate system and delay models. In order to eliminate this reliance, and achieve stable operation with disturbance rejection, a controller is designed via a Genetic Programming framework implemented directly in Matlab and, particularly, Simulink. The principal objective is to obtain a relatively simple controller for the time-delay system which does not rely on computationally expensive structures, yet retains inherent disturbance rejection properties. A methodology is presented to automatically design control systems directly upon the block libraries available in Simulink to automatically evolve robust control structures.


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Archived with thanks to Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Except where otherwise noted, this item's license is described as Archived with thanks to Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering