Using neural-fuzzy inference to control the functioning of a human-machine system in the form of an exoskeleton with links of variable length, taking into account the effects of lag and synchronization of electric drives

A. O. Blinov; V. O. Blinov; M. G. Kulikova; Kseniia Maslova

doi:10.1117/12.3017812

19 January 2024 Using neural-fuzzy inference to control the functioning of a human-machine system in the form of an exoskeleton with links of variable length, taking into account the effects of lag and synchronization of electric drives

A. O. Blinov, V. O. Blinov, M. G. Kulikova, Kseniia Maslova

Author Affiliations +

Proceedings Volume 12986, Third International Scientific and Practical Symposium on Materials Science and Technology (MST-III 2023); 129860Y (2024) https://doi.org/10.1117/12.3017812
Event: Third International Scientific and Practical Symposium on Materials Science and Technology (MST-III 2023), 2023, Dushanbe, Tajikistan

Abstract

The article describes the technical problems that arise when modeling exoskeletons with variable length links and electromechanical drives:the delay of the executive mechanisms of the exoskeleton with increased movements of the human musculoskeletal system, which has a negative effect on the dynamics of the joint movement of a person inside the exoskeleton. The consequence is the lack of synchronization in the joint work of the human-exoskeleton cyborgic system. This reduces the comfort of using exoskeletons. An analysis of the prospects for improving the technologies for controlling electromechanical models of exoskeletons based on neuro-fuzzy networks is presented. The prospects for autonomization of exoskeleton control with the help of neural networks are determined. An analysis of possible problems associated with the introduction of intelligent control of the exoskeleton was carried out, solutions were proposed for the use of a neuro-fuzzy network to control the electromechanical model of the exoskeleton.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

A. O. Blinov, V. O. Blinov, M. G. Kulikova, and Kseniia Maslova "Using neural-fuzzy inference to control the functioning of a human-machine system in the form of an exoskeleton with links of variable length, taking into account the effects of lag and synchronization of electric drives", Proc. SPIE 12986, Third International Scientific and Practical Symposium on Materials Science and Technology (MST-III 2023), 129860Y (19 January 2024); https://doi.org/10.1117/12.3017812

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available