PD-like Regulation of Mechanical Systems with Prescribed Bounds of Exponential Stability

The Point-to-Point Case

Conference Paper (2021)
Author(s)

Davide Calzolari (Technische Universität München, Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Jenny Santina (TU Delft - Learning & Autonomous Control, Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Alin Albu-Schaffer (Deutsches Zentrum für Luft- und Raumfahrt (DLR), Technische Universität München)

Research Group
Learning & Autonomous Control
Copyright
© 2021 Davide Calzolari, C. Della Santina, Alin Albu-Schaffer
DOI related publication
https://doi.org/10.23919/ACC50511.2021.9482884
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Davide Calzolari, C. Della Santina, Alin Albu-Schaffer
Research Group
Learning & Autonomous Control
Pages (from-to)
4321-4326
ISBN (electronic)
978-1-6654-4197-1
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This letter discusses an extension of the famous PD regulator implementing point to point motions with prescribed exponential rates of convergence. This is achieved by deriving a novel global exponential stability result, dealing with mechanical systems evolving on uni-dimensional invariant manifolds of the configuration space. The construction of closed loop controllers enforcing the existence of such manifolds is then discussed. Explicit upper and lower bounds of convergence are provided, and connected to the gains of the closed loop controller. Simulations are carried out, assessing the effectiveness of the controller and the tightness of the exponential bounds.

Files

PD_like_Regulation_of_Mechanic... (pdf)
(pdf | 1.72 Mb)
- Embargo expired in 28-01-2022
License info not available