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Black‐box position and attitude tracking for underwater vehicles by second‐order sliding‐mode technique
Author(s) -
Bartolini Giorgio,
Pisano Alessandro
Publication year - 2010
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1532
Subject(s) - control theory (sociology) , controller (irrigation) , actuator , position (finance) , stability (learning theory) , underwater , mode (computer interface) , tracking (education) , black box , position tracking , sliding mode control , scheme (mathematics) , computer science , engineering , control engineering , control (management) , mathematics , nonlinear system , artificial intelligence , physics , quantum mechanics , pedagogy , mathematical analysis , oceanography , biology , operating system , psychology , machine learning , agronomy , finance , economics , geology
In this work we address the tracking control problems for autonomous underwater vehicles (AUVs). The proposed solution is based on the variable structure systems (VSS) theory and, in particular, on the second‐order sliding‐mode (2‐SM) methodology. The tuning of the controller is carried out via black‐box approach, dispensing with the knowledge of the actual AUV parameters, by simply progressively increasing a single gain parameter. The presented stability analysis includes explicitly the unmodelled actuator dynamics and the presence of external uncertain disturbances. The good performance of the proposed scheme is verified by means of simulations on a 6‐DOF AUV. Copyright © 2009 John Wiley & Sons, Ltd.