Angular Position Control of Furuta Pendulum with an Intelligent Sliding Modes Approach

dc.contributor.advisorBessa, Wallace Moreira
dc.contributor.authorPorto, Diego Rolim
dc.contributor.referees1Bessa, Wallace Moreira
dc.contributor.referees2Lima, Gabriel da Silva
dc.contributor.referees3Moreira, Victor Ramon Firmo
dc.date.accessioned2019-12-05T21:45:05Z
dc.date.accessioned2021-10-05T15:59:22Z
dc.date.available2019-12-05T21:45:05Z
dc.date.available2021-10-05T15:59:22Z
dc.date.issued2019-11-29
dc.description.resumoUnderactuated mechanical systems have several applications in the industrial activity. With that in mind, the study of controllers suitable for these type of mechanisms is vital. In this article, a controller composed of the combination of the sliding mode and artificial neural networks techniques is proposed. Being tested on a Furuta pendulum, with a highly nonlinear dynamic and uncertainties, the results clearly show a great improvement in the overall performance.pt_BR
dc.identifier20180009298pt_BR
dc.identifier.citationPORTO, Diego Rolim; LIMA, Gabriel da Silva; BESSA, Wallace Moreira. Angular Position Control of Furuta Pendulum with an Intelligent Sliding Modes Approach. International Symposium on Dynamic Problems of Mechanics. Armação de Búzios, Rj, mar. 2019.pt_BR
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/42999
dc.languageenpt_BR
dc.publisherUniversidade Federal do Rio Grande do Nortept_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEngenharia Mecânicapt_BR
dc.publisher.initialsUFRNpt_BR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/br/*
dc.subjectUnderactuated mechanical systemspt_BR
dc.subjectsliding mode controlpt_BR
dc.subjectartificial neural networkpt_BR
dc.subject.cnpqEngenharia Mecânica; Projetos de Máquina; Controle de Sistemas Mecânicospt_BR
dc.titleAngular Position Control of Furuta Pendulum with an Intelligent Sliding Modes Approachpt_BR
dc.typebachelorThesispt_BR

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