José de Jesús Rubio, Daniel Andres Cordova, Mario Alberto Hernandez, Eduardo Orozco, Francisco Javier Rosas, Guadalupe Juliana Gutierrez, Jesus Alberto Meda-Campaña, Carlos Aguilar-Ibañez
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References tracking and perturbations reconstruction in a Cartesian robot
An exosystem needs to be nonlinear when it generates the perturbations to be reconstructed; however, an exosystem does not need to be nonlinear when it generates the references to be tracked. Resulting that the tracking of the references generated by an exosystem is an easier task. Hence, some studies on the references tracking should be made. Furthermore, to solve the references tracking, the perturbations are needed. In this research, the references tracking and the perturbations reconstruction in a Cartesian robot are discussed. For the perturbations reconstruction, an estimator is defined to force the reconstructed perturbations to track the perturbations of a Cartesian robot model. For the references tracking, a controller is defined to force a Cartesian robot model to track an exosystem. A theorem is addressed to prove the perturbations reconstruction. A theorem is addressed to prove the references tracking. A simulation in a Cartesian robot is used to confirm the validity and effectiveness of our controller with estimator in comparison with a feedback controller.
期刊介绍:
The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications