PID and LQR controllers applied to the inverse dynamics of a 3-DOF Manipulator / Controladores PID e LQR aplicados à dinâmica inversa de um Manipulador 3-GDL

The application in the industrial manipulator robots has grown over the years making production systems increasingly efficient. Within this context, the need for efficient controllers is required to perform the control of these manipulators. In this work the PID controller (Proportional-Integral-Der...

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Detalhes bibliográficos
Autores: Batista, Josias Guimarães, de Souza, Darielson Araújo, dos Reis, Laurinda Lúcia Nogueira, de Souza Júnior, Antônio Barbosa
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2021
País:Brasil
Recursos:Instituto Superior de Educação Vera Cruz (VeraCruz)
Repositório:Revista Veras
Idioma:português
OAI Identifier:oai:ojs2.ojs.brazilianjournals.com.br:article/33066
Acesso em linha:https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/33066
Access Level:Acceso aberto
Palavra-chave:PID Controller
Inverse Dynamics
PID Cascade
Cylindrical Manipulator
LQR Controller.
Descrição
Resumo:The application in the industrial manipulator robots has grown over the years making production systems increasingly efficient. Within this context, the need for efficient controllers is required to perform the control of these manipulators. In this work the PID controller (Proportional-Integral-Derivative) and LQR (Linear Quadratic Regulator) is presented from the inverse dynamics model of a RPP (Rotational - Prismatic - Prismatic) cylindrical manipulator. The inverse dynamic model which is modeled on Simulink together with a cascaded PID controller is presented. The PID and LQR results are also presented for joint independent and joint dependent control, i.e a controlled PID is used for each joint, controlling the trajectories and speeds at the same time. This paper has as main contributions the development of the manipulator dynamics model and the design of the LQR and PID controllers applied to the inverse dynamics model, which makes the system simpler to control.