Detalhes bibliográficos
Ano de defesa: |
2016 |
Autor(a) principal: |
Oliveira, Phelipe Wesley de |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
http://www.repositorio.ufc.br/handle/riufc/16998
|
Resumo: |
Industrial robots today are widely used in industrial processes, whether in assembly processes or product quality verification processes. The task of the robotic manipulator is then seek to position the tool in the desired position with the smallest error as possible, this is done by using control techniques. Despite the existence of modern techniques of control, fixed earnings drivers are still the most industrially used because of its simplicity. Controller with adjustable gains typically require a training period, which makes replacement of this something expensive from the industrial point of view. This paper presents a comparison between classical control techniques, such as proportional integral derivative control, and adjustable gains techniques, set by gain scheduling and fuzzy logic, from the point of they are easy and quick implementation in the field industrial and it is not necessary to adjust the gains to all new desired trajectory. The results show that the adjusted fuzzy controller has a greater ability to adjust to different paths without modification of parameters when compared to other techniques, besides presenting a tolerance to external disturbances and changes in system dynamics |