In this paper, a dual system consisting of two 5 DOF (RRRRR) robot manipulators is considered as a cooperative robotic system used to manipulate a rigid payload on a desired trajectory between two desired initial and end positions/orientations. The forward and inverse kinematic problems are first solved for the dual arm system. Then, dynamics of the system and the relations between forces/momen...

In this paper, a combined adaptive-robust and neural network control based on backstepping design is proposed for trajectory tracking of two 6-DOF rigid link electrically driven (RLED) elbow robot manipulators moving a rigid object when actuator dynamics is also considered in the system dynamics. First, the authors derive kinematics and dynamics of the mechanical subsystem and the relations amo...

This paper presents a new intelligent method to control rehabilitation robots by mainly considering reactions of patient instead of doing a repetitive preprogrammed movement. It generates a general reference trajectory based on different reactions of patient during therapy. Three main reactions has been identified and included in reference trajectory: small variations, force shocks in a single ...

One of the most challenging issues in adaptive control robot manipulators with kinematic uncertainties is requirement inverse Jacobian matrix regressor form. This inevitable case parallel robots, whose dynamic equations are written directly task space. In this paper, an controller designed for robots based on representation form, such that asymptotic trajectory tracking ensured. The main idea s...

A sliding mode control algorithm combined with an adaptive scheme, which is used to estimate the unknown parameter bounds, is developed for the trajectory control of robot manipulators. Simulation results show the validity of accurate tracking capability and robust performance.

a mobile manipulator robot is known as a complex system due to some properties such as coupling between the manipulator and mobile chassis, holonomic and nonholonomic constraints, multivariable and nonlinear dynamics. the control of robot faces the external disturbance, parametric uncertainty and unmodeled dynamics. therefore, the use of an adaptive fuzzy system is suggested for its capability ...

In this paper, a novel adaptive sliding mode control for rigid robot manipulators is proposed. In the proposed system, since there may exist explicit unknown parameters and perturbations, a Lyapunov based approach is presented to increase system robustness, even in presence of arbitrarily large (but not infinite) discontinuous perturbations. To control and track the robot, a continuous controll...

Adaptive robust control schemes are developed for the trajectory tracking control of robot manipulators. The schemes utilize a dynamic sliding mode and achieve a guaranteed transient performance and nal tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities. In the absence of uncertain nonlinearities, the schemes also achieve asymptotic tracking. In addi...

Torque control strategy is a common strategy to control robotic manipulators. However, it becomes complex duo to manipulator dynamics. In addition, position control of Permanent Magnet Synchronous Motors (PMSMs) is a complicated control. Therefore, tracking control of robots driven by PMSMs is a challenging problem. This article presents a novel tracking control of electrically driven robots wh...