Path tracking: Combined path following and trajectory tracking for autonomous underwater vehicles

Autor: Chao Liu, Xianbo Xiang, Bruno Jouvencel, Lionel Lapierre
Přispěvatelé: Huazhong University of Science and Technology [Wuhan] (HUST), Robotique mobile pour l'exploration de l'environnement (EXPLORE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Conception et commande de robots pour la manipulation (DEXTER)
Rok vydání: 2011
Předmět:
Zdroj: IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS: Intelligent Robots and Systems
IROS: Intelligent Robots and Systems, Sep 2011, San Francisco, United States. pp.3558-3563
HAL
DOI: 10.1109/iros.2011.6094949
Popis: International audience; This paper proposes a novel control strategy for autonomous underwater vehicles (AUVs), named as path tracking, which combines the conventional path following and trajectory tracking control in order to achieve smooth spatial convergence and tight temporal performance as well. This idea is inspired by the previous work of Hindman [1] and Encarnacao [2], however, the path tracking design herein goes from path following to trajectory tracking, which indeed is an inverse way from the previous solutions so that the complex projection algorithm resulting in a local stability is avoided. A kinematics controller is first derived by using Lyapunov direct method where a virtual path parameter is introduced to bring an extra control degree of freedom, and then it is extended to the dynamics of AUVs based on backstepping technique. The resulting nonlinear control design is formally shown and it yields global asymptotic convergence of the AUV to the path. Finally, simulation results illustrate the efficiency of the path tracking control design for AUVs.
Databáze: OpenAIRE