In this paper, a novel approach for parallel kinematic machine control relying on a fast exteroceptive measure is implemented and validated on the Orthoglide robot. This approach begins with rewriting the robot models as a function of the only end-effector pose. It is shown that such an operation reduces the model complexity. Then, this approach uses a classical Cartesian space computed torque control with a fast exteroceptive measure, reducing the control schemes complexity. Simulation results are given to show the expected performance improvements and experiments prove the practical feasibility of the approach.
@article{arxiv.0810.2666,
title = {A Vision-based Computed Torque Control for Parallel Kinematic Machines},
author = {Flavien Paccot and Philippe Lemoine and Nicolas Andreff and Damien Chablat and Philippe Martinet},
journal= {arXiv preprint arXiv:0810.2666},
year = {2008}
}