“…Conventional robots with serial or parallel structures are impractical for these applications since the workspace requirements are higher than what the conventional robots can provide. For these reasons, cables-driven robots have received attention and have been recently studied [1]. The cable parallel robot are a special class of parallel mechanisms, whose trusts consist of cables whose lengths are adjustable to control the end-effector's position and orientation [2], this last is a fully parallel mechanism in closed chains with n degrees of freedom for the end effector; this last is connected to fixed platform by m cables; and each cable connects an output point attached to the fixed based of the robot to the mobile platform.…”
“…Conventional robots with serial or parallel structures are impractical for these applications since the workspace requirements are higher than what the conventional robots can provide. For these reasons, cables-driven robots have received attention and have been recently studied [1]. The cable parallel robot are a special class of parallel mechanisms, whose trusts consist of cables whose lengths are adjustable to control the end-effector's position and orientation [2], this last is a fully parallel mechanism in closed chains with n degrees of freedom for the end effector; this last is connected to fixed platform by m cables; and each cable connects an output point attached to the fixed based of the robot to the mobile platform.…”
“…Zarebidoki used the adaptive control approach for controlling a cable-suspended robot by considering the uncertainty in the exact value of mass and inertia of the end-effector. 5 Although the employed adaptive controller is efficient enough to overcome system parameter uncertainties, it is not a robust controller to compensate for the unstructured and modeling uncertainties. Many authors employed the sliding mode control (SMC) known as robust method against parametric and model uncertainties and external disturbances.…”
SUMMARYA sliding mode controller is designed to compensate for the flexibility uncertainties of a cable robot and improve its tracking performance. Of the most significant sources of these uncertainties are the elasticity of the cables and the flexibility of the joints. A favorable approach to improve the accuracy of the system is first to model the cable and joint flexibilities and then convert the model uncertainties into parametric uncertainties. Parametric uncertainties are the product of imprecise flexibility coefficients and are finally neutralized by a sliding mode controller. The flexibility in cables is modeled by considering the longitudinal vibration of the time-varying length cables. A simulation study is carried out to confirm the presented model and the positive effect of the designed controller. Then the impact of these uncertainties on the dynamic load carrying capacity (DLCC) of the robot is examined and compared for different cases. Finally, experimental tests are conducted on the IUST (Iran University of Science and Technology) cable-suspended robot to validate the presented theories and simulation results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.