Simulações numéricas e computacionais de controle de posicionamento de manipuladores robóticos sujeitos a excitação de fontes não ideais

This work proposes the use of a hybrid controller that combines concepts of the Proportional-Integral-Derivative (PID) controller with the Linear-Quadratic-Regulator (LQR) and a Feedforward gain to control the positioning of a 2 DOF robotic arm with flexible joints. As the joints are flexible, there...

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Bibliographic Details
Author: Pereira, Amarildo Eider Barbosa
Format: master thesis
Status:Published version
Publication Date:2022
Country:Brasil
Institution:Universidade Tecnológica Federal do Paraná (UTFPR)
Repository:Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
Language:Portuguese
OAI Identifier:oai:repositorio.utfpr.edu.br:1/30408
Online Access:http://repositorio.utfpr.edu.br/jspui/handle/1/30408
Access Level:Open access
Keyword:Controladores programáveis
Controladores PID
Manipuladores (Mecanismo)
Robótica
Simulação (Computadores)
Programmable controllers
PID controllers
Manipulators (Mechanism)
Robotics
Computer simulation
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Engenharia/Tecnologia/Gestão
Description
Summary:This work proposes the use of a hybrid controller that combines concepts of the Proportional-Integral-Derivative (PID) controller with the Linear-Quadratic-Regulator (LQR) and a Feedforward gain to control the positioning of a 2 DOF robotic arm with flexible joints. As the joints are flexible, there is in this system a non-ideal coupling between the links of the robotic arm, where the angular movement of one link can generate oscillations that spread and impact the response of the system. The nonideal excitation source originates from the coupling between the electric motor used to move the link of the robotic arm with the flexible element of the structure. These mechanical oscillations interfere in the positioning of the motor, and thus in the electrical power consumed by the system. In the results section of this work, numerical simulations are used to show the functionality and performance of the proposed controller in the studied system.