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Optimal Reconfiguration of a Limited Parallel Robot for Forward Singularities Avoidance
Author(s) -
Carlos LlopisAlbert,
Francisco Valero,
Vicente Mata,
Rafael J. Escarabajal,
Pau Zamora-Ortiz,
José L. Pulloquinga
Publication year - 2020
Publication title -
multidisciplinary journal for education social and technological sciences
Language(s) - English
Resource type - Journals
ISSN - 2341-2593
DOI - 10.4995/muse.2020.13352
Subject(s) - control reconfiguration , kinematics , parallel manipulator , heuristics , computer science , trajectory , control theory (sociology) , gravitational singularity , actuator , function (biology) , degrees of freedom (physics and chemistry) , robot , mathematical optimization , mathematics , artificial intelligence , embedded system , physics , mathematical analysis , control (management) , classical mechanics , astronomy , evolutionary biology , biology , quantum mechanics
The positioning of the anchoring points of a Parallel Kinematic Manipulator has an important impact on its later performance. This paper presents an optimization problem to deal with the reconfiguration of a Parallel Kinematic manipulator with four degrees of freedom and the corresponding algorithms to address such problem, with the subsequent test on an actual robot. The cost function minimizes the forces applied by the actuators along the trajectory and considers singular positions and the feasibility of the active generalized coordinates. Results are compared among different algorithms, including evolutionary, heuristics, multi-strategy and gradient-based optimizers.

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