Use este identificador para citar ou linkar para este item:
https://repositorio.ufrn.br/handle/123456789/42999
Título: | Angular Position Control of Furuta Pendulum with an Intelligent Sliding Modes Approach |
Autor(es): | Porto, Diego Rolim |
Orientador: | Bessa, Wallace Moreira |
Palavras-chave: | Underactuated mechanical systems;sliding mode control;artificial neural network |
Data do documento: | 29-Nov-2019 |
Editor: | Universidade Federal do Rio Grande do Norte |
Referência: | PORTO, 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. |
Resumo: | Underactuated 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. |
URI: | https://repositorio.ufrn.br/handle/123456789/42999 |
Outros identificadores: | 20180009298 |
Aparece nas coleções: | CT - TCC - Engenharia Mecânica |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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TCC_Artigo_DiegoRolimPorto.pdf | Versão extendida do artigo publicado no Diname 2019 | 445,35 kB | Adobe PDF | Visualizar/Abrir |
TCC_Ata_DiegoRolim Porto.pdf | Ata da banca examinadora | 104,63 kB | Adobe PDF | Visualizar/Abrir |
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