Adaptive Human-Robot Interaction Control of the Lower Extremity Robotic Exoskeleton with Magnetorheological Actuators*

In this paper, a lower extremity robotic exoskeleton is presented to provide paralytic patients with rehabilitation training in two modes including robot-active mode and human-active mode. Magnetorheological (MR) actuators are designed and set in the robot to provide flexible joint torque. In the robot-active mode, the MR actuator works to transfer torque to the robotic joint, limiting the output torque to protect the patients from secondary injury and reducing the power consumption. While in the human-active mode, the MR actuator generates controllable damping torque by changing its input current to provide anti-resistance training to help patients strengthen muscles. Then, an adaptive human-robot interaction control method is proposed to realize smooth and stable transition between these two modes. The effect of the MR actuators is also taken into consideration. Experiments are conducted to verify performance of the robotic control.

[1]  Jonathan W. Bender,et al.  Properties and Applications of Commercial Magnetorheological Fluids , 1999 .

[2]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Chenguang Yang,et al.  Physical Human–Robot Interaction of a Robotic Exoskeleton By Admittance Control , 2018, IEEE Transactions on Industrial Electronics.

[4]  Mohammad Mehdi Fateh,et al.  Internal Model Impedance Control for a Lower Limb Rehabilitation Robot in the Presence of Uncertainty , 2018, Electrical Engineering (ICEE), Iranian Conference on.

[5]  Xiang Li,et al.  Adaptive Human–Robot Interaction Control for Robots Driven by Series Elastic Actuators , 2017, IEEE Transactions on Robotics.

[6]  Chien Chern Cheah,et al.  Stable human-robot interaction control for upper-limb rehabilitation robotics , 2013, 2013 IEEE International Conference on Robotics and Automation.

[7]  Wei-Hsin Liao,et al.  Design, testing and control of a magnetorheological actuator for assistive knee braces , 2010 .

[8]  Jonathan W. Bender,et al.  Properties and Applications of Commercial Magnetorheological Fluids , 1998, Smart Structures.

[9]  Max Q.-H. Meng,et al.  Impedance control with adaptation for robotic manipulations , 1991, IEEE Trans. Robotics Autom..

[10]  Suguru Arimoto,et al.  Control Theory of Nonlinear Mechanical Systems , 1996 .

[11]  John J. Craig,et al.  Hybrid position/force control of manipulators , 1981 .

[12]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part II—Implementation , 1985 .