Cable-suspended robots are categorized as a type of parallel manipulator that has recently attracted interest in terms of manipulation tasks. The main goal of this paper is to develop a novel mechatronic kit with a control methodology for a modularized cable-suspended robot. The advantages of such system owns modular and reconfigurable over conventional robots. In addition, position and orientation of the end-effector is forced toward the desired values by control of cable lengths. Hence, the new approach for forward and inverse kinematic calculation procedure based on the change of the cable lengths is used to measure the position and orientation of the mobile platform. Furthermore, the input shaping algorithm is implemented for point-to-point control purposes. The modified input shaping uses the s curve command (S-type) to offer superior performance than conventional trapezoidal command (T-type) in point-to-point positioning control. Experimental validation demonstrates the cable oscillation suppression effectiveness of the proposed S-type input shaping control command.
Cable-driven parallel robots comprise driven actuators that allow controlled cables to act in parallel on an end-effector. Such a robotic system has a potentially large reachable workspace, large load capacity, high payload-to-weight ratio, high reconfigurability, and low inertia, relative to rigid link serial and parallel robots. In this work, a multi-degrees-of-freedom cable-suspended robot that can carry out pick-and-place tasks in large workspaces with heavy loads is designed. The proposed cable-driven parallel robot is composed of a rigid frame and an end-effector that is suspended from eight cables—four upper cables and four lower cables. The lengths of the cables are computed from the given positions of the suspended end-effector using a kinematic model. However, most multi-cable-driven robots suffer from interference among the cables, requiring a complex control methodology to find a target goal. Owing to this issue with cable-driven parallel robots, the whole control structure decomposes positioning control missions and allocates them into upper level and lower level. The upper level control is responsible for tracking the suspended end-effector to the target region. The lower level control makes fine positional modifications. Experimental results reveal that the hybrid control mode notably improves positioning performance. The wide variety of issues that are considered in this work apply to aerostats, towing cranes, locomotion interfaces, and large-scale manufacturing that require cable-driven parallel robots.
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