Gait Phase-Based Control for a Rotary Series Elastic Actuator Assisting the Knee Joint

Author:

Bae Joonbum1,Kong Kyoungchul2,Tomizuka Masayoshi1

Affiliation:

1. Department of Mechanical Engineering, University of California, Berkeley, CA 94720 e-mail:

2. Department of Mechanical Engineering, Sogang University, Seoul, Korea 121-742 e-mail:

Abstract

Actuators for physical human-robot interaction (pHRI) such as rehabilitation or assistive systems should generate the desired torque precisely. However, the resistive and inertia loads inherent in the actuators (e.g., friction, damping, and inertia) set challenges in the control of actuators in a force/torque mode. The resistive factors include nonlinear effects and should be considered in the controller design to generate the desired force accurately. Moreover, the uncertainties in the plant dynamics make the precise torque control difficult. In this paper, nonlinear control algorithms are exploited for a rotary series elastic actuator to generate the desired torque precisely in the presence of nonlinear resistive factors and modeling uncertainty. The sliding mode control smoothed by a boundary layer is applied to enhance the robustness for the modeling uncertainty without chattering phenomenon. In this paper, the rotary series elastic actuator (RSEA) is installed on the knee joint of an orthosis, and the thickness of the boundary layer is changed by gait phases in order to minimize the torque error without the chattering phenomenon. The performance of the proposed controller is verified by experiments with actual walking motions.

Publisher

ASME International

Subject

Biomedical Engineering,Medicine (miscellaneous)

Reference12 articles.

1. Series Elasticity and Actuator Power Output;Paluska

2. Series Elastic Actuators for High Fidelity Force Control;Pratt;Industrial Robot: An International Journal

3. Series Elastic Actuators;Pratt

4. Series Elastic Actuator Development for a Biomimetic Walking Robot;Robinson

5. Control of Rotary Series Elastic Actuator for Ideal Force-Mode Actuation in Human-Robot Interaction Applications;Kong;IEEE/ASME Trans. Mechatron.

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