Repositório do Conhecimento Institucional do Centro Universitário FEI
 

μ-synthesis for unmanned underwater vehicles current disturbance rejection

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Tipo de produção

Artigo

Data de publicação

2011

Periódico

Journal of the Brazilian Society of Mechanical Sciences and Engineering

Editor

Citações na Scopus

1

Autores

DE SOUZA, E. C.
MARUYAMA, N.

Orientadores

Resumo

This note focuses attention on a novel approach to disturbance rejection when the μ-synthesis control procedure is applied to Unmanned Underwater Vehicles (UUVs). Environmental external disturbances simplify to ocean current for a totally submerged vehicle and greatly contributes for hydrodynamical loads and the tether cable disturbance. Our case scenario deals with the incorporation of the sea current disturbance to the plant model employed for control design. In the proposed design method, we substitute the structured unmodeled dynamics uncertainty, which is generally difficult to come up with and eventually utilized to represent external disturbances, by parametric uncertainty, relatively easier and straightforward to come by. The sea-current load parameters are, therefore, treated as parametric uncertainty and fit in the μ design framework. Assuming that both vehicle motion and current direction lie in the horizontal plane, the incoming (to vehicle) current vector sets a horizontal circumference sector in which it may vary. When in the 3D space, current uncertainty renders a cone in space. For validation purposes, the linear controller is simulated with the nonlinear vehicle model.

Citação

DE SOUZA, E. C.; MARUYAMA, N. μ-synthesis for unmanned underwater vehicles current disturbance rejection. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 33, n. 3, p. 357-365, p. Jul. 2011.

Palavras-chave

Keywords

Mobile robots; Nonlinear control systems; Robust control

Assuntos Scopus

Control design; Current direction; Current vectors; Design frameworks; External disturbances; Linear controllers; Parametric uncertainties; Unmodeled dynamics

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