Sensorless model-based tension control for a cable-driven exosuit
Elena Bardi, Adrian Esser, Peter Wolf, Marta Gandolla, Emilia, Ambrosini, Alessandra Pedrocchi, and Robert Riener

TL;DR
This paper introduces a sensorless, model-based tension control method for cable-driven exosuits, reducing cost and complexity while maintaining effective assistance and movement quality.
Contribution
It presents a novel design and control approach that eliminates the need for force sensors in exosuits, using data-driven friction modeling for tension regulation.
Findings
Achieved an RMSE of 0.71 Nm in tension tracking.
Reduced muscle activity in key shoulder muscles during assistance.
Demonstrated feasibility of sensorless tension control in exosuits.
Abstract
Cable-driven exosuits have the potential to support individuals with motor disabilities across the continuum of care. When supporting a limb with a cable, force sensors are often used to measure tension. However, force sensors add cost, complexity, and distal components. This paper presents a design and control approach to remove the force sensor from an upper limb cable-driven exosuit. A mechanical design for the exosuit was developed to maximize passive transparency. Then, a data-driven friction identification was conducted on a mannequin test bench to design a model-based tension controller. Seventeen healthy participants raised and lowered their right arms to evaluate tension tracking, movement quality, and muscular effort. Questionnaires on discomfort, physical exertion, and fatigue were collected. The proposed strategy allowed tracking the desired assistive torque with an RMSE of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVibration and Dynamic Analysis · Elevator Systems and Control · Power Line Inspection Robots
