DocumentCode :
2475208
Title :
A general framework for multiple vehicle time-coordinated path following control
Author :
Ghabcheloo, Reza ; Kaminer, Isaac ; Aguiar, A. Pedro ; Pascoal, Antonio
Author_Institution :
Dept. of Inteligent Hydraulics & Autom., Tampere Univ of Technol., Tampere, Finland
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
3071
Lastpage :
3076
Abstract :
This paper describes a general framework for the study of multiple vehicle, time-coordinated path following (TC-PF) control problems. An example is the situation where a group of vehicles is tasked to maneuver and arrive at pre-assigned final positions at the same time in a collision-free manner, while reducing some optimality criterion. The time of arrival is not fixed a priori, and the vehicles must negotiate their speeds along the spatial paths that they follow in order to arrive simultaneously and avoid collision. The general framework adopted leads to integrated solutions to TC-PF problems that unfold in three steps: 1) generation of deconflicted trajectories for a group of vehicles, 2) path following for each vehicle along its assigned path, and 3) coordination of the relative motion of the vehicles along their paths, so as to guarantee deconfliction and meet desired temporal constraints such as equal times of arrival. The last step is accomplished by varying the speed of each vehicle about the nominal speed profile computed in step 1, based on the exchange of information with its neighbors. The paper formulates the problem mathematically, offers a general framework for its solution, and illustrates the efficacy of the proposed methodology in simulation with dynamic models of autonomous underwater vehicles (AUVs).
Keywords :
collision avoidance; mobile robots; multi-robot systems; optimal control; remotely operated vehicles; robot dynamics; underwater vehicles; AUV dynamic model; TC-PF problem; autonomous underwater vehicle; collision avoidance; collision-free multiple vehicle time-coordinated path following control problem; deconflicted trajectory generation; mobile robot; multiple vehicle control problem; optimality criterion; temporal constraint; time-of-arrival; vehicle motion coordination; Computational modeling; Marine vehicles; Mathematical model; Oceans; Remotely operated vehicles; Robotics and automation; Scattering; Sea surface; Underwater vehicles; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160564
Filename :
5160564
Link To Document :
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