Robust controls for upper limb exoskeleton, real-time results

Author:

Rosales Luengas Yukio1,López-Gutiérrez Ricardo1,Salazar Sergio1,Lozano Rogelio2

Affiliation:

1. Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico, Mexico

2. Universite de Technologie de Compiegne, Compiegne, Mexico

Abstract

This article shows the development of an exoskeleton for human joint. The exoskeleton proposed was developed for rehabilitating individuals who have suffered injuries at their shoulders, by rehabilitation exercises. The exoskeleton has special characteristics to deal with the 5 degrees of freedom of the human shoulder. The dynamic model results in the following form: [Formula: see text], where [Formula: see text] and [Formula: see text] are state’s vector, torque’s vector, a matrix function and a vector function, respectively. Therefore, we applied four different control laws, among which stand two robust controls (adaptive sliding modes and proportional–derivative with adaptive gravity compensation). The adaptive controller properties allow the exoskeleton to adapt to different humans with different parameters such as size, length, weight and so on that, in mathematical terms, is represented as a mechanical system with uncertainties.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Control of Patient-Upper-Limb-Exoskeleton: Stability and Robustness Analysis;2023 IEEE Third International Conference on Signal, Control and Communication (SCC);2023-12-01

2. RISE Control of Patient-Upper-Limb-Exoskeleton for Passive Rehabilitation;2023 IEEE Third International Conference on Signal, Control and Communication (SCC);2023-12-01

3. Mechanism Design and Control of Shoulder Rehabilitation Robots: A Review;IEEE Transactions on Medical Robotics and Bionics;2023-11

4. Design methodology of portable upper limb exoskeletons for people with strokes;Frontiers in Neuroscience;2023-03-16

5. Performance Analysis of a Robust Controller with Neural Network Algorithm for Compliance Tendon–Sheath Actuation Lower Limb Exoskeleton;Machines;2022-11-11

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