USP Electronic Research Repository

Assistive technology: autonomous wheelchair in obstacle - ridden environment

Kumar, Sandeep A. and Vanualailai, Jito and Prasad, Avinesh (2021) Assistive technology: autonomous wheelchair in obstacle - ridden environment. PeerJ Computer Science, NA . NA. ISSN 2376-5992

[img] PDF - Published Version
Restricted to Repository staff only

Download (10MB)

Abstract

The benefits for the advancement and enhancement of assistive technology are manifold. However, improving accessibility for persons with disabilities (PWD) to ensure their social and economic inclusion makes up one of the major ones in recent times. This paper presents a set of new nonlinear time-invariant stabilizing controllers for safe navigation of an autonomous nonholonomic rear-wheel drive wheelchair. Autonomous wheelchairs belong to the category of assistive technology, which is most sought in current times due to its usefulness, especially to the less abled (physically and/or cognitively), hence helping create an inclusive society. The wheelchair navigates in an obstacle-ridden environment from its start to final configuration, maintaining a robust obstacle avoidance scheme and observing system restrictions and dynamics. The velocity-based controllers are extracted from a Lyapunov function, the total potentials designed using the Lyapunov based Control Scheme (LbCS) falling under the classical approach of the artificial potential field method. The interplay of the three central pillars of LbCS, which are safety, shortness, and smoothest course for motion planning, results in cost and time effectiveness and the velocity controllers’ efficiency. Using the Direct Method of Lyapunov, the stability of the wheelchair system has been proved. Finally, computer simulations illustrate the effectiveness of the set of new controllers.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: School of Information Technology, Engineering, Mathematics and Physics (STEMP)
Depositing User: Ms Shalni Sanjana
Date Deposited: 07 Feb 2022 00:01
Last Modified: 07 Feb 2022 00:01
URI: http://repository.usp.ac.fj/id/eprint/13213
UNSPECIFIED

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...