An ISS based Solution to avoid Local Minima in the Potential Field Method

Matteo Guerra 1 Gang Zheng 1 Denis Efimov 1 Wilfrid Perruquetti 1, 2, 3
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : This work solves the obstacle avoidance problem extending the Potential Field (PF) method for a mobile robot. The usual definition of the PF has been modified to have a field which is continuous everywhere. It is shown that the system has an attracting equilibrium at the target point, repelling equilibriums in the centers of the obstacles and saddle points on the borders. Those unstable equilibriums are avoided capitalizing on the established Input-to-State Stability (ISS) property of this multi-stable system. To escape a local minima this work makes the most of ISS property that is not lost for perturbations. And for small properly designed disturbances the global attractivity of the target point is proved. The proposed modification of the PF method is shown to be effective by simulation and then applied for unicycle-like mobile robots with additive input disturbances.
Type de document :
Communication dans un congrès
Proc. ECC'15, Jul 2015, Linz, Austria
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01140322
Contributeur : Denis Efimov <>
Soumis le : mercredi 8 avril 2015 - 13:33:45
Dernière modification le : vendredi 13 avril 2018 - 01:26:02
Document(s) archivé(s) le : mardi 18 avril 2017 - 13:47:48

Fichier

ECC15_0323_FI.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01140322, version 1

Collections

Citation

Matteo Guerra, Gang Zheng, Denis Efimov, Wilfrid Perruquetti. An ISS based Solution to avoid Local Minima in the Potential Field Method. Proc. ECC'15, Jul 2015, Linz, Austria. 〈hal-01140322〉

Partager

Métriques

Consultations de la notice

223

Téléchargements de fichiers

100