This paper presents an experimental evaluation of joint torque control in a flexible robot using model predictive approach. The elastic robots is challenging due to the underactuated nature connected link and motor dynamics. A typical solution formulate controller cascaded way with outer loop for nonlinear side dynamics combination inner torque. In this utilizes design order take actuator const...

Todays, use of combination of two or more methods was considered to control of systems. In this paper ispresented how to design of a nonlinear H∞ (NL-H∞) controller for flexible joint robot (FJR) based on boundedUKF state estimator. The UKF has more advantages to standard EKF such as low bios and no need toderivations. In this research, based on spong primary model for FJRs, same as rigid robot...

This paper describes a general passivity-based framework for the control of flexible joint robots. Recent results on torque, position, as well as impedance control of flexible joint robots are summarized, and the relations between the individual contributions are highlighted. It is shown that an inner torque feedback loop can be incorporated into a passivity-based analysis by interpreting torqu...

New generation robots, meant for physical human robot interactions, are no longer rigid; it has become soft in terms of introduction of considerable flexibility at the actuated joints, flexibility of the links and in terms of compliant coverings. Safety requirement becomes primary in situations where physical interactions occur, calling for compliance; but accuracy and control bandwidth get com...

This paper presents a Gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. The adaptation laws of designed controller are obtained based on sliding m...

In this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. The design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a PID control law. One novelty of this paper is the use of a PSO algorithm for optimizing the contro...