Title
A comparison between optimal LQR control and LQR predictive control of a planar robot of 2DOF
Date Issued
01 September 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This work employs a LQR (Linear Quadratic Regulator) predictive control as well as a LQR controller to control the angular servomotor positions of a planar robot of 2DOF (2 Degrees of Freedom). The goal of such a pantograph type robot is to manipulate the X-Y positions of a 4-bar linkage end effector using two rotary servo base units connected to two revolute joints. Three unactuated revolute joints complete the five links of the robot. Experimental results demonstrate that the LQR predictive controller performs better than the LQR controller, because the former controller is able to diminish the steady-state error between the Cartesian coordinates with respect to the desired coordinates.
Language
English
OCDE Knowledge area
Robótica, Control automático
Subjects
Scopus EID
2-s2.0-85095430949
ISBN
9781728193779
Resource of which it is part
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
ISBN of the container
978-172819377-9
Conference
27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Sources of information:
Directorio de Producción Científica
Scopus