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dc.creatorNagarkar, Mahesh
dc.creatorVikhe Patil, G. J.
dc.date.accessioned2019-07-03T04:42:27Z
dc.date.available2019-07-03T04:42:27Z
dc.date.created2016-01-01
dc.identifierISSN: 2248-8723
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/67625
dc.descriptionIn this paper, a genetic algorithm (GA) based in an optimization approach is presented in order to search the optimum weighting matrix parameters of a linear quadratic regulator (LQR). A Macpherson strut quarter car suspension system is implemented for ride control application. Initially, the GA is implemented with the objective of minimizing root mean square (RMS) controller force. For single objective optimization, RMS controller force is reduced by 20.42% with slight increase in RMS sprung mass acceleration. Trade-off is observed between controller force and sprung mass acceleration. Further, an analysis is extended to multi-objective optimization with objectives such as minimization of RMS controller force and RMS sprung mass acceleration and minimization of RMS controller force, RMS sprung mass acceleration and suspension space deflection. For multi-objective optimization, Pareto-front gives flexibility in order to choose the optimum solution as per designer’s need.
dc.formatapplication/pdf
dc.publisherUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
dc.relationhttps://revistas.unal.edu.co/index.php/ingeinv/article/view/49253
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
dc.relation.ispartofIngeniería e Investigación
dc.subjectGenetic algorithm (GA)
dc.subjectMacPherson strut
dc.subjectquarter car
dc.subjectlinear quadratic regulator (LQR)
dc.subjectoptimization.
dc.subject.ddc62 Ingeniería y operaciones afines / Engineering
dc.titleOptimization of the linear quadratic regulator (LQR) control quarter car suspension system using genetic algorithm
dc.typeinfo:eu-repo/semantics/article
dc.type.spaArtículo - Article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.bibliographicCitationNagarkar, Mahesh and Vikhe Patil, G. J. (2016) Optimization of the linear quadratic regulator (LQR) control quarter car suspension system using genetic algorithm. Ingeniería e Investigación, 36 (1). pp. 23-30. ISSN 2248-8723
dc.identifier.eprintshttp://bdigital.unal.edu.co/68654/


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