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dc.contributor.authorStewart, Paul
dc.contributor.authorStone, David
dc.contributor.authorFleming, Peter
dc.date.accessioned2019-07-30T12:05:12Z
dc.date.available2019-07-30T12:05:12Z
dc.date.issued2004-05-10
dc.identifier.citationStewart, P., Stone, D.A., and Fleming, P.J. (2004) 'Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop', Engineering Applications of Artificial Intelligence, 17(3), pp.275-284. doi: 10.1016/j.engappai.2004.03.003.en_US
dc.identifier.issn0952-1976
dc.identifier.doi10.1016/j.engappai.2004.03.003
dc.identifier.urihttp://hdl.handle.net/10545/624030
dc.description.abstractEvolutionary development of a fuzzy-logic controller is described and is evaluated in the context of hardware in the loop. It had been found previously that a robust speed controller could be designed for a DC motor motion control platform via off-line fuzzy logic controller design. However to achieve the desired performance, the controller required manual tuning on-line. This paper investigates the automatic design of a fuzzy logic controller directly onto hardware. An optimiser which modifies the fuzzy membership functions, rule base and defuzzification algorithms is considered. A multi-objective evolutionary algorithm is applied to the task of controller development, while an objective function ranks the system response to find the Pareto-optimal set of controllers. Disturbances are introduced during each evaluation at run-time in order to produce robust performance. The performance of the controller is compared experimentally with the fuzzy logic controller which has been designed off-line, and a standard PID controller which has been tuned online. The on-line optimised fuzzy controller is shown to be robust, possessing excellent steady-state and dynamic characteristics, demonstrating the performance possibilities of this type of approach to controller design.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0952197604000235en_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectFuzzy systemsen_US
dc.subjectEvolutionary/Genetic algorithmsen_US
dc.subjectMethodologiesen_US
dc.subjectModels and algorithmsen_US
dc.subjectHardware-in-the-loopen_US
dc.titleDesign of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop.en_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Sheffielden_US
dc.identifier.journalEngineering Applications of Artificial Intelligenceen_US
dcterms.dateAccepted2004-03-08
refterms.dateFOA2004-09-01T00:00:00Z
dc.author.detail784376en_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States