Perturbed Integrators Chain Control via Barrier Function Adaptation and Lyapunov Redesign

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Main Authors: Estrada, Manuel A., Pérez-Pinacho, Claudia A., Cruz-Ancona, Christopher D., Fridman, Leonid
Format: Preprint
Published: 2024
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author Estrada, Manuel A.
Pérez-Pinacho, Claudia A.
Cruz-Ancona, Christopher D.
Fridman, Leonid
author_facet Estrada, Manuel A.
Pérez-Pinacho, Claudia A.
Cruz-Ancona, Christopher D.
Fridman, Leonid
contents Lyapunov redesign is a classical technique that uses a nominal control and its corresponding nominal Lyapunov function to design a discontinuous control, such that it compensates the uncertainties and disturbances. In this paper, the idea of Lyapunov redesign is used to propose an adaptive time-varying gain controller to stabilize a class of perturbed chain of integrators with an unknown control coefficient. It is assumed that the upper bound of the perturbation exists but is unknown. A proportional navigation feedback type gain is used to drive the system's trajectories into a prescribed vicinity of the origin in a predefined time, measured using a quadratic Lyapunov function. Once this neighborhood is reached, a barrier function-based gain is used, ensuring that the system's trajectories never leave this neighborhood despite uncertainties and perturbations. Experimental validation of the proposed controller in Furuta's pendulum is presented.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09438
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Perturbed Integrators Chain Control via Barrier Function Adaptation and Lyapunov Redesign
Estrada, Manuel A.
Pérez-Pinacho, Claudia A.
Cruz-Ancona, Christopher D.
Fridman, Leonid
Systems and Control
Lyapunov redesign is a classical technique that uses a nominal control and its corresponding nominal Lyapunov function to design a discontinuous control, such that it compensates the uncertainties and disturbances. In this paper, the idea of Lyapunov redesign is used to propose an adaptive time-varying gain controller to stabilize a class of perturbed chain of integrators with an unknown control coefficient. It is assumed that the upper bound of the perturbation exists but is unknown. A proportional navigation feedback type gain is used to drive the system's trajectories into a prescribed vicinity of the origin in a predefined time, measured using a quadratic Lyapunov function. Once this neighborhood is reached, a barrier function-based gain is used, ensuring that the system's trajectories never leave this neighborhood despite uncertainties and perturbations. Experimental validation of the proposed controller in Furuta's pendulum is presented.
title Perturbed Integrators Chain Control via Barrier Function Adaptation and Lyapunov Redesign
topic Systems and Control
url https://arxiv.org/abs/2405.09438