Abstract
A type of cable driven redundant parallel manipulator is considered that is spanned across a surface, instead of suspended in space. A control strategy needs to be implemented that guarantees positive cable tensions and provides good performance in trajectory tracking. Therefore a workspace control method is designed based on a model of the robot, which includes a solution for the cable tension distribution. As it is hard to measure the absolute position of the end-effector, a new approach is presented where feature detection is used to update an approximated position. Experiments are carried out to compare performances with and without the addition of a vision system for a simple line motion. The error between the platform and the reference position is measured for both cases as well as the cable tensions. Mean absolute errors of 8.8 and 13 mm are obtained for the case with and without vision system respectively and positive cable tensions are measured for the complete motion. This indicates that the principle of including feature detection in the position measurement is a suitable control strategy.
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Emmens, A.R., Spanjer, S.A.J., Herder, J.L. (2015). Modeling and Control of a Large-Span Redundant Surface Constrained Cable Robot with a Vision Sensor on the Platform. In: Pott, A., Bruckmann, T. (eds) Cable-Driven Parallel Robots. Mechanisms and Machine Science, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-319-09489-2_18
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DOI: https://doi.org/10.1007/978-3-319-09489-2_18
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