Abstract

For the purpose of reducing power consumption of a leg exoskeleton for augmenting human performance, a novel hybrid hydraulic system (HHS) which includes a unidirectional servo valve and a solenoid on-off valve is excogitated, and its energy saving control is studied in this paper. Inspired by the varieties of contact force between human leg and ground during walking, the unidirectional servo valve and the solenoid on-off valve are only activated in the stance phase and the swing phase, respectively. In the stance phase, a robust repetitive learning scheme is presented by using the backstepping technique for the unidirectional servo valve, aiming to track the periodic human leg movement, and in the swing phase, an on-off control is proposed for the solenoid valve to release the pressure in the hydraulic cylinder so that the exoskeleton leg is bent by the human leg passively. The proposed control strategy is implemented in an ARM-based embedded microprocessor and the control performance is verified via experiment on the developed exoskeleton robot. The experimental results show that the power consumption of the proposed system is almost 30% less than that of systems with bidirectional hydraulic system.

Highlights

  • Exoskeleton is a wearable robot that can help wearers enhance their physical abilities [1], [2], such as increasing the strength of soldiers [5], assisting the elderly to walk [3], and rehabilitating the patients with limb injuries [4]

  • Similar DARPA-funded works are underway at Massachusetts Institute of Technology (MIT) and the U.C

  • Aiming at decreasing power consumption of the leg exoskeleton, this paper described a novel hybrid hydraulic system (HHS) and investigated its energy saving control design

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Summary

INTRODUCTION

Exoskeleton is a wearable robot that can help wearers enhance their physical abilities [1], [2], such as increasing the strength of soldiers [5], assisting the elderly to walk [3], and rehabilitating the patients with limb injuries [4]. Y. Yang et al.: Robust Repetitive Learning-Based Trajectory Tracking Control for a Leg Exoskeleton Driven by HHS the endurance of both the robot and the wearer. A novel leg exoskeleton driven by the HHS is developed and activated by using repetitive learning and on-off control based scheme. 2) Aiming at reducing the energy cost in tracking control of CASWELL-II, a hybrid electro-hydraulic system that consists of unidirectional servo valve and solenoid valve is designed to drive the exoskeleton leg. In the stance phases of a walking cycle, the solenoid on-off valve is closed, and the exoskeleton is driven by the unidirectional hydraulic actuator to track the movement of human. Its first and second derivatives are periodic

CONTROLLER DESIGN AND MAIN RESULTS
MAIN RESULTS
EXPERIMENTAL RESULTS
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