Powered Prosthesis Locomotion on Varying Terrains: Model-Dependent Control with Real-Time Force Sensing

TL;DR

This paper presents a novel model-dependent control method for powered prostheses that uses real-time force sensing to guarantee stability and improve walking performance across various terrains.

Contribution

It introduces the first on-board, real-time force sensing based model-dependent prosthesis knee controller with formal stability guarantees.

Findings

Outperforms non-force sensing controllers in terrain tracking

Enables stable walking on multiple terrain types

Provides formal stability guarantees

Abstract

Lower-limb prosthesis wearers are more prone to falling than non-amputees. Powered prostheses can reduce this instability of passive prostheses. While shown to be more stable in practice, powered prostheses generally use model-independent control methods that lack formal guarantees of stability and rely on heuristic tuning. Recent work overcame one of the limitations of model-based prosthesis control by developing a class of provably stable prosthesis controllers that only require the human interaction forces with the prosthesis, yet these controllers have not been realized with sensing of these forces in the control loop. Our work realizes the first model-dependent prosthesis knee controller that uses in-the-loop on-board real-time force sensing at the interface between the human and prosthesis and at the ground. The result is an optimization-based control methodology that formally guarantees stability while enabling human-prosthesis walking on a variety of terrain types. Experimental results demonstrate this force-based controller outperforms similar controllers not using force sensors, improving tracking across 4 terrain types.