Experimental comparison of control strategies for trajectory tracking for mobile robots
The purpose of this paper is to implement, test and compare the performance of different control strategies for tracking trajectory for mobile robots. The control strategies used are based on linear algebra, PID controller and on a sliding mode controller. Each control scheme is developed taking int...
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oai:localhost:28000-39572017-04-13T20:34:46Z Experimental comparison of control strategies for trajectory tracking for mobile robots Camacho Quintero, Oscar Eduardo SLIDING MODE CONTROL SMC MOBILE ROBOTS TRAJECTORY TRACKING LINEAR ALGEBRA CONTROLLER DESIGN COMPARISON ROBOT CONTROL CONTROL STRATEGIES ROBOT TRAJECTORIES PID CONTROL KINEMATIC MODELLING ROBOT MODELLING The purpose of this paper is to implement, test and compare the performance of different control strategies for tracking trajectory for mobile robots. The control strategies used are based on linear algebra, PID controller and on a sliding mode controller. Each control scheme is developed taking into consideration the model of the robot. The linear algebra approaches take into account the complete kinematic model of the robot; and the PID and the sliding mode controller use a reduced order model, which is obtained considering the mobile robot platform as a black-box. All the controllers are tested and compared, firstly by simulations and then, by using a Pioneer 3DX robot in field experiments. http://www.inderscienceonline.com/doi/pdf/10.1504/IJAAC.2016.077591 2017-04-12T18:14:31Z 2017-04-12T18:14:31Z 2016 article Capito, Linda. et al. (2016). Experimental comparison of control strategies for trajectory tracking for mobile robots. International Journal of Automation and Control. Vol. 10. Reino Unido. 1740-7524 http://repositorio.educacionsuperior.gob.ec/handle/28000/3957 eng DOI;10.1504/IJAAC.2016.077591 closedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ |
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eng |
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Artículos |
topic |
SLIDING MODE CONTROL SMC MOBILE ROBOTS TRAJECTORY TRACKING LINEAR ALGEBRA CONTROLLER DESIGN COMPARISON ROBOT CONTROL CONTROL STRATEGIES ROBOT TRAJECTORIES PID CONTROL KINEMATIC MODELLING ROBOT MODELLING |
spellingShingle |
SLIDING MODE CONTROL SMC MOBILE ROBOTS TRAJECTORY TRACKING LINEAR ALGEBRA CONTROLLER DESIGN COMPARISON ROBOT CONTROL CONTROL STRATEGIES ROBOT TRAJECTORIES PID CONTROL KINEMATIC MODELLING ROBOT MODELLING Camacho Quintero, Oscar Eduardo Experimental comparison of control strategies for trajectory tracking for mobile robots |
description |
The purpose of this paper is to implement, test and compare the performance of different control strategies for tracking trajectory for mobile robots. The control strategies used are based on linear algebra, PID controller and on a sliding mode controller. Each control scheme is developed taking into consideration the model of the robot. The linear algebra approaches take into account the complete kinematic model of the robot; and the PID and the sliding mode controller use a reduced order model, which is obtained considering the mobile robot platform as a black-box. All the controllers are tested and compared, firstly by simulations and then, by using a Pioneer 3DX robot in field experiments. |
author |
Camacho Quintero, Oscar Eduardo |
author_facet |
Camacho Quintero, Oscar Eduardo |
author_sort |
Camacho Quintero, Oscar Eduardo |
title |
Experimental comparison of control strategies for trajectory tracking for mobile robots |
title_short |
Experimental comparison of control strategies for trajectory tracking for mobile robots |
title_full |
Experimental comparison of control strategies for trajectory tracking for mobile robots |
title_fullStr |
Experimental comparison of control strategies for trajectory tracking for mobile robots |
title_full_unstemmed |
Experimental comparison of control strategies for trajectory tracking for mobile robots |
title_sort |
experimental comparison of control strategies for trajectory tracking for mobile robots |
publishDate |
2017 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/3957 |
_version_ |
1634995206568804352 |
score |
11,871979 |