Perturbed Integrators Chain Control via Barrier Function Adaptation and Lyapunov Redesign
Abstract
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.
Cite
@article{arxiv.2405.09438,
title = {Perturbed Integrators Chain Control via Barrier Function Adaptation and Lyapunov Redesign},
author = {Manuel A. Estrada and Claudia A. Pérez-Pinacho and Christopher D. Cruz-Ancona and Leonid Fridman},
journal= {arXiv preprint arXiv:2405.09438},
year = {2024}
}
Comments
12 pages, 9 figures