Hybrid-model based hierarchical mission control architecture for autonomous underwater vehicles

2005 ◽  
Author(s):  
S. Tangirala ◽  
R. Kumar ◽  
S. Bhattacharyya ◽  
M. O'Connor ◽  
L.E. Holloway
Keyword(s):  
Hybrid Model ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Control Architecture ◽  
Model Based ◽  
Mission Control

A modular and scalable control architecture for navigation of autonomous underwater vehicles

2015 ◽  
Author(s):  
Francisco J. Lastra ◽  
Francisco J. Velasco ◽  
Elias Revestido Herrero ◽  
Jesus A. Trujillo Medina ◽  
Luis M. Vega
Keyword(s):  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Control Architecture

Model-Based Maneuvering Controls for Autonomous Underwater Vehicles

1992 ◽  
Vol 114 (4) ◽  
pp. 614-622 ◽  
Author(s):  
A. J. Healey
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Reference Model ◽  
Autonomous Underwater Vehicles ◽  
Robustness Analysis ◽  
Underwater Vehicles ◽  
Feedback Systems ◽  
Model Based ◽  
Model Following Control ◽  
Handling Characteristics ◽  
Model Following

This paper proposes the development of a model following autopilot system for an Autonomous Underwater Vehicle (AUV) depth changing control. The parameters to command a maneuver are generated off-line and selected as appropriate by the vehicle’s autonomous control system. A series of such preprogrammed maneuvers can be stored in an on-board computer, and used as command generation systems for the autopilot. The paper presents a linear model following control (LMFC) design based on the open-loop linearized vehicle model as the reference model, a robustness analysis of the scheme and simulation results of response in the diveplane using the full nonlinear vehicle system equations. LMFC has been proposed for aircraft where certain desirable handling characteristics based on an arbitrary model are required or where decoupled control for Control Configured Vehicle (CCV) performance is needed. It is shown here that this model-based LMFC autopilot for underwater vehicles exhibits relatively robust behavior under conditions of parameter uncertainty and non-linearity which is not worse than the equivalent LQR/LTR for linear output feedback systems. Also, a tailored transient response is provided, conducive to near time optimal response.

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