Robust 2 1/2D Visual Servoing of a Cable-Driven Parallel Robot Thanks to Trajectory Tracking
This work addresses trajectory stability issues for CDPRs in robotics, but it is incremental as it builds on existing visual servoing methods.
The paper tackles the problem of trajectory perturbations in vision-based control of Cable-Driven Parallel Robots (CDPRs) by proposing trajectory tracking to improve robustness, resulting in the definition of a control stability workspace and experimental validation showing clear robustness improvement.
Cable-Driven Parallel Robots (CDPRs) are a kind of parallel robots that have cables instead of rigid links. Implementing vision-based control on CDPRs leads to a good final accuracy despite modeling errors and other perturbations in the system. However, unlike final accuracy, the trajectory to the goal can be affected by the perturbations in the system. This paper proposes the use of trajectory tracking to improve the robustness of 2 1/2 D visual servoing control of CDPRs. Lyapunov stability analysis is performed and, as a result, a novel workspace, named control stability workspace, is defined. This workspace defines the set of moving-platform poses where the robot is able to execute its task while being stable. The improvement of robustness is clearly shown in experimental validation.