Gait stabilisation of an underactuated bipedal walker on steep slopes. (17th April 2022)

• Record Type: Journal Article
• Authors: Gupta, Surbhi
• Is Part Of: International journal of intelligent engineering informatics. Volume 9:Number 6(2021)
• Page Start: 533
• Page End: 550
• Publication Date: 2022-04-17
• Subjects: bipedal locomotion -- underactuation -- switched controller -- optimal control -- hybrid dynamics -- nonlinear dynamics; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

Abstract

In this paper, we have demonstrated that by using optimised design parameters and appropriate reference trajectory, a bipedal model can be underactuated to stably walk on steep-sloped surfaces. Underactuated bipeds can walk stably on level-ground and slopes of up to 20°. Inspired by mass-distribution in human body, the foot-to-body mass ratio is considered negligible in the mathematical models of these bipeds. We considered this ratio to be non-zero and optimised it along with the leg-length for maximising the distance travelled by the simplest bipedal walking model before falling down. An optimal switching controller was designed to track a reference trajectory as the target gait cycle. This reference trajectory was obtained from the passive dynamics study of the optimised bipedal walker on steep slope instead of from conventional level-ground walking. The controller pushes the gait to the target pattern by switching the control between hip-joint, ankle-joint and no control, as per requirement. The resultant underactuated biped could walk on slopes 0°-30°.