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Reducing Actuator Switchings for Motion Control of Autonomous Underwater Vehicles

Chyba, Monique, Marriott, John, Grammatico, Sergio, Huynh, Van T., & Smith, Ryan N. (2012) Reducing Actuator Switchings for Motion Control of Autonomous Underwater Vehicles. In IEEE Conferecne on Decision and Control, December 10-13, 2012, Maui, Hawaii USA.

Abstract

A priority when designing control strategies for autonomous underwater vehicles is to emphasize their cost of implementation on a real vehicle. Indeed, due to the vehicles' design and the actuation modes usually under consideration for underwater plateforms the number of actuator switchings must be kept to a small value to insure feasibility and precision. This is the main objective of the algorithm presented in this paper. The theory is illustrated on two examples, one is a fully actuated underwater vehicle capable of motion in six-degrees-of freedom and one is minimally actuated with control motions in the vertical plane only.

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79 since deposited on 24 Apr 2012
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ID Code: 49818
Item Type: Conference Paper
Additional URLs:
Keywords: Autonomous Underwater Vehicle, Optimal Control, Minimal Actuator switching, profiling float
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Calculus of Variations Systems Theory and Control Theory (010203)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Dynamical Systems in Applications (010204)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MARITIME ENGINEERING (091100) > Special Vehicles (091106)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 (please consult the author).
Deposited On: 24 Apr 2012 15:10
Last Modified: 24 Apr 2012 20:51

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