Published 2023 | Version public
Journal Article

A review of current state-of-the-art control methods for lower-limb powered prostheses

  • 1. ROR icon California Institute of Technology

Abstract

Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb amputations. While the design of lower-limb prostheses is important, this paper focuses on the complementary challenge—the control of lower-limb prostheses. Specifically, we focus on powered prostheses, a subset of lower-limb prostheses, which utilize actuators to inject mechanical power into the walking gait of a human user. In this paper, we present a review of existing control strategies for lower-limb powered prostheses, including the control objectives, sensing capabilities, and control methodologies. We separate the various control methods into three main tiers of prosthesis control: High-level control for task and gait phase estimation, mid-level control for desired torque computation (both with and without the use of reference trajectories), and low-level control for enforcing the computed torque commands on the prosthesis. In particular, we focus on the high- and mid-level control approaches in this review. Additionally, we outline existing methods for customizing the prosthetic behavior for individual human users. Finally, we conclude with a discussion on future research directions for powered lower-limb prostheses based on the potential of current control methods and open problems in the field.

Additional Information

© 2023 Elsevier. This material is based upon work supported by Wandercraft, France under Award No. WANDERCRAFT.21, NIH Director's New Innovator, USA Award DP2-HD111709, and NSF, USA Awards 1923239 and 1924526. This review paper was adapted for a chapter in the first author's PhD thesis (Gehlhar, 2023). Data availability. No data was used for the research described in the article. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional details

Identifiers

Eprint ID
122047
Resolver ID
CaltechAUTHORS:20230628-332770500.20
PMCID
PMC10449377

Funding

Wandercraft
WANDERCRAFT.21
NIH
DP2-HD111709
NSF
CMMI-1923239
NSF
ECCS-1924526

Dates

Created
2023-07-05
Created from EPrint's datestamp field
Updated
2023-07-05
Created from EPrint's last_modified field