Hybrid Lyapunov-based feedback stabilization of bipedal locomotion based on reference spreading

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bertollo, Riccardo, Lunardi, Gianni, Del Prete, Andrea, Zaccarian, Luca
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866911865263620096
author Bertollo, Riccardo
Lunardi, Gianni
Del Prete, Andrea
Zaccarian, Luca
author_facet Bertollo, Riccardo
Lunardi, Gianni
Del Prete, Andrea
Zaccarian, Luca
contents We propose a hybrid formulation of the linear inverted pendulum model for bipedal locomotion, where the foot switches are triggered based on the center of mass position, removing the need for pre-defined footstep timings. Using a concept similar to reference spreading, we define nontrivial tracking error coordinates induced by our hybrid model. These coordinates enjoy desirable linear flow dynamics and rather elegant jump dynamics perturbed by a suitable extended class ${\mathcal K}_\infty$ function of the position error. We stabilize this hybrid error dynamics using a saturated feedback controller, selecting its gains by solving a convex optimization problem. We prove local asymptotic stability of the tracking error and provide a certified estimate of the basin of attraction, comparing it with a numerical estimate obtained from the integration of the closed-loop dynamics. Simulations on a full-body model of a real robot show the practical applicability of the proposed framework and its advantages with respect to a standard model predictive control formulation.
format Preprint
id arxiv_https___arxiv_org_abs_2405_02184
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hybrid Lyapunov-based feedback stabilization of bipedal locomotion based on reference spreading
Bertollo, Riccardo
Lunardi, Gianni
Del Prete, Andrea
Zaccarian, Luca
Systems and Control
Dynamical Systems
We propose a hybrid formulation of the linear inverted pendulum model for bipedal locomotion, where the foot switches are triggered based on the center of mass position, removing the need for pre-defined footstep timings. Using a concept similar to reference spreading, we define nontrivial tracking error coordinates induced by our hybrid model. These coordinates enjoy desirable linear flow dynamics and rather elegant jump dynamics perturbed by a suitable extended class ${\mathcal K}_\infty$ function of the position error. We stabilize this hybrid error dynamics using a saturated feedback controller, selecting its gains by solving a convex optimization problem. We prove local asymptotic stability of the tracking error and provide a certified estimate of the basin of attraction, comparing it with a numerical estimate obtained from the integration of the closed-loop dynamics. Simulations on a full-body model of a real robot show the practical applicability of the proposed framework and its advantages with respect to a standard model predictive control formulation.
title Hybrid Lyapunov-based feedback stabilization of bipedal locomotion based on reference spreading
topic Systems and Control
Dynamical Systems
url https://arxiv.org/abs/2405.02184