DocumentCode
2087411
Title
Genetic planning of control actions for a high manoeuvrability AUV
Author
Fernandez-Prisuelos, J. ; De Andres-Toro, B. ; Giron-Sierra, J.M. ; De la Cruz, J.M. ; Riola, J.M.
Author_Institution
Dept. ACYA, Univ. Complutense de Madrid, Spain
Volume
2
fYear
2005
fDate
20-23 June 2005
Firstpage
1220
Abstract
For certain operations the control of AUV motions is subject to difficulties, due to motion coupling. In this paper a high manoeuvrability AUV is considered, with only thrusters for motion control. A Genetic planning of the control actions has been devised, considering a multiobjective optimisation problem, which includes energy and time saving, and smooth operation with realistic control actions. Since the inertia of the submergible filters out control brisk changes, it turns out that there are many almost equivalent control strategies obtaining similar trajectories. This is why the characteristics of the control actions have been included as part of the multiobjective optimisation. Several diving scenarios have been specified, including obstacles. The paper begins with a description of the AUV and the control problem, then it focus on the multiobjective optimisation problem and the genetic planning to solve the problem, then it considers several scenarios and present optimal results; finally, the paper comes to conclusions and future research, which will be experimental.
Keywords
genetic algorithms; marine systems; mobile robots; motion control; oceanographic equipment; oceanographic techniques; planning (artificial intelligence); remotely operated vehicles; underwater vehicles; autonomous underwater vehicle; genetic planning; motion control; motion coupling; multiobjective optimisation; submergible filters; Automatic control; Filters; Genetic algorithms; Irrigation; Motion control; Observatories; Optimal control; Robot kinematics; Robotics and automation; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Oceans 2005 - Europe
Conference_Location
Brest, France
Print_ISBN
0-7803-9103-9
Type
conf
DOI
10.1109/OCEANSE.2005.1513233
Filename
1513233
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