Controlled drift: an investigation into the controllability of underwater vehicles with minimal actuation


Autoria(s): Smith, Ryan N.; Dunbabin, Matthew
Contribuinte(s)

Drummond, Tom

Data(s)

2011

Resumo

This paper is directed towards providing an answer to the question, ”Can you control the trajectory of a Lagrangian float?” Being a float that has minimal actuation (only buoyancy control), their horizontal trajectory is dictated through drifting with ocean currents. However, with the appropriate vertical actuation and utilising spatio-temporal variations in water speed and direction, we show here that broad controllabilty results can be met such as waypoint following to keep a float inside of a bay or out of a designated region. This paper extends theory experimen- tally evaluted on horizontally actuated Autonomous Underwater Vehicles (AUVs) for trajectory control utilising ocean forecast models and presents an initial investi- gation into the controllability of these minimally actuated drifting AUVs. Simulated results for offshore coastal and within highly dynamic tidal bays illustrate two tech- niques with the promise for an affirmative answer to the posed question above.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/48216/

Publicador

Australian Robotics & Automation Association

Relação

http://eprints.qut.edu.au/48216/1/Ryan_Smith.pdf

https://ssl.linklings.net/conferences/acra/program/attendee_program_acra2011/by_date.html#Thursday%2010:50%20A.M.%20-%2012:30%20P.M.

Smith, Ryan N. & Dunbabin, Matthew (2011) Controlled drift: an investigation into the controllability of underwater vehicles with minimal actuation. In Drummond, Tom (Ed.) Proceedings of the Australasian Conference on Robotics and Automation 2011, Australian Robotics & Automation Association, Monash University, Melbourne, VIC, pp. 1-10.

Direitos

Copyright 2011 Please consult the author(s)

Fonte

School of Electrical Engineering & Computer Science; Faculty of Built Environment and Engineering; Science & Engineering Faculty; School of Engineering Systems

Palavras-Chave #040503 Physical Oceanography #080101 Adaptive Agents and Intelligent Robotics #091103 Ocean Engineering #091106 Special Vehicles #Autonomous underwater vehicle #Ocean engineering #Physical oceanography #Oceanography #Ocean modelling
Tipo

Conference Paper