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dc.contributor.advisorBorges, Geovany Araújo-
dc.contributor.authorQuadros, Lucas de Moura-
dc.identifier.citationQUADROS, Lucas de Moura. Kinematic predictive control for trajectory of a robotic manipulator. 2022. 75 f., il. Trabalho de conclusão de curso (Bacharelado em Engenharia Mecatrônica) — Universidade de Brasília, Brasília, 2022.pt_BR
dc.descriptionTrabalho de conclusão de curso (graduação) — Universidade de Brasília, Faculdade de Tecnologia, 2022.pt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.keywordCinemática das máquinaspt_BR
dc.subject.keywordRobóticapt_BR
dc.titleKinematic predictive control for trajectory of a robotic manipulatorpt_BR
dc.typeTrabalho de Conclusão de Curso - Graduação - Bachareladopt_BR
dc.date.accessioned2023-04-10T15:06:46Z-
dc.date.available2023-04-10T15:06:46Z-
dc.date.submitted2022-05-11-
dc.identifier.urihttps://bdm.unb.br/handle/10483/34502-
dc.language.isoInglêspt_BR
dc.rights.licenseA concessão da licença deste item refere-se ao termo de autorização impresso assinado pelo autor que autoriza a Biblioteca Digital da Produção Intelectual Discente da Universidade de Brasília (BDM) a disponibilizar o trabalho de conclusão de curso por meio do sítio bdm.unb.br, com as seguintes condições: disponível sob Licença Creative Commons 4.0 International, que permite copiar, distribuir e transmitir o trabalho, desde que seja citado o autor e licenciante. Não permite o uso para fins comerciais nem a adaptação desta.pt_BR
dc.description.abstract1Robotics is a very wide field that involves diverse engineering types, computer science, mathematics and so on. There are multiple tools that enable to work with robotics, even in simulation environments. One important aspect of a robotic system is the fulfillment of a geometrical task, in a specific period of time. Even if the assignment is not feasible within the requested time, it is important to maintain the satisfaction of the geometrical task. In this context, this work consists in exert the kinematic control of a redundant robot manipulator, using dual quaternion algebra. Two kinds of controllers were developed: one is known as the Local method, which only considers information related to the current state of the robot, while the other takes into account the future evolution of the task in order to compute the control law. A scaling factor was also considered, which enables to make the task more flexible in terms of the total time requested to satisfy it. Both the kinds of controllers applied the scaling factor, in which for one of the two trajectories tested, the Model predictive control (MPC) produced a higher scaling factor, while for the other one, the Local method provided a lower scaling factor. Different physical quantities were also taken into account and compared. It was possible to analyze the advantages of the MPC controller towards the Local method. Without considering a scaling factor, a simpler MPC controller was developed, in order to compare its performance with a proportional controller based in a different error metric.pt_BR
Aparece na Coleção:Engenharia Mecatrônica



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