In this paper, we propose an adaptive sliding mode control strategy for a 3D cable-driven parallel robot. The proposed control technique is widely used for dealing with nonlinear systems uncertainties and for improving the robot performance in terms of tracking a desired path. The main contribution of this work is firstly: the graphical user interface (GUI) witch presents a point-to-point command, thus by the visualization of the end-effector position. Secondly, the sliding mode control is modeling for applied to the dynamic model for different trajectories in order to test the accurate tracking of the robot to a desired path. The effectiveness of the proposed control strategy is demonstrated through different simulation results.

This paper addresses a novel nonlinear algorithm for the trajectory tracking of a planar cable-driven parallel robot. In particular, we outline a nonlinear continuous-time generalized predictive control (NCGPC). The proposed controller design is based on the finite horizon continuous-time minimization of a quadratic predicted cost function. The tracking error in the receding horizon is approximated using a Taylor-series expansion. The main advantage of the proposed NCGPC is based on using an analytic solution, which can be truncated to a desired degree of order of the Taylor-series. This allows us to achieve a prediction horizon of NCGPC tracking performance. The description of the proposed NCGPC method is followed by a comparison between NCGPC and a conventional computed torque control (CTC) method. Robustness tests are performed by considering payload and parameter uncertainties for both controllers. Simulation results of NCGPC compared to the commonly used CTC prove the effectiveness and advantages of the proposed approach.

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This paper presents a modeling and control of new model in a spatial coordinates (x, y, z), from this structures we choose: regular pyramid of a square basis manipulated by five cables and eight cables for a cubic shape. The main objective of this work is to integrate the axe (z) on the horizontal plane (x, y) i-e the plan 3D. This last their intervention especially when we obliged to transfer the end effector from point to point, for that we used the direct and inverse geometric model to study and simulate the end effector position of the robot with five and eight cables. A graphical user interface has been implemented in order to visualizing the position of the robot. Secondly, we present the desired path and determination the tensions and cables lengths of kinematic model required to follow spiral trajectory. At the end, we study the response of our systems in closed loop with a Proportional-Integrated-Derivative (PID) using MATLAB/Simulink which used to verify the performance of the controller.

In this paper, we present a simulator that has been developed using PD control to study 3D cable-based parallel robot with four cables. The proposed control technique is widely used for dealing with linear systems uncertainties, in this context; we investigated to use the Runge Kutta method of 4th order for solving non-linear partial differential equations of our system. The main contribution of this work is firstly: modelling of differential equations of our system. Secondly, the PD control applied to the dynamic model for different trajectories in order to test the accurate tracking of the robot to a desired trajectory. The effectiveness of the proposed control strategy is improving the robot performance in terms of tracking a desired path.