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Cooperative control of collective mo...

Paley, Derek A.,

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Cooperative control of collective motion for ocean sampling with autonomous vehicles /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cooperative control of collective motion for ocean sampling with autonomous vehicles // Derek A Paley.
Author:	Paley, Derek A.,
Description:	1 electronic resource (299 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 69-05, Section: B.
Contained By:	Dissertations Abstracts International69-05B.
Subject:	Ocean engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273526
ISBN:	9780549136453

Cooperative control of collective motion for ocean sampling with autonomous vehicles /
Paley, Derek A.,

Cooperative control of collective motion for ocean sampling with autonomous vehicles /Derek A Paley. - 1 electronic resource (299 pages)

Source: Dissertations Abstracts International, Volume: 69-05, Section: B.

Cooperative control is an emerging engineering field infused with biology, mathematics, and physics. Cooperative control engineers seek decentralized algorithms to coordinate the motion of robotic vehicles. These algorithms-often inspired by animal and insect grouping behavior-are relevant to applications in national security, geographic surveying, and environmental monitoring. This dissertation studies motion control for autonomous data collection by a network of underwater vehicles. Measurements of ocean circulation enable scientists to study climate processes and ecosystems in the ocean. We describe a systematic methodology for decentralized feedback stabilization of autonomous vehicle formations. Vehicles are represented by self-propelled particles with coupled-phase oscillator dynamics. The orientation of each particle's velocity is described by a phase angle that changes in response to the positions and phases of other particles. Particle formations include parallel motion with arbitrary relative spacing and circular motion with symmetric relative spacing. Interaction between particles is modeled by a (state-dependent) graph that may be time-invariant or time-varying and undirected or directed. We apply a cooperative control methodology to control a fleet of autonomous underwater gliders. Underwater gliders soar through the water on a pair of fixed wings, collecting valuable oceanographic data for weeks at a time. We describe the Glider Coordinated Control System (GCCS), which steers multiple gliders to a set of coordinated trajectories. The GCCS automatically controlled up to six gliders continuously for over three weeks in a 800 km2 region in California's Monterey Bay in August 2006. The GCCS enables oceanographers to specify and adapt glider sampling patterns with minimal human intervention.

English

ISBN: 9780549136453Subjects--Topical Terms:

660731
Ocean engineering.
Subjects--Index Terms:

Autonomous vehicles

Cooperative control of collective motion for ocean sampling with autonomous vehicles /
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245 1 0 $a Cooperative control of collective motion for ocean sampling with autonomous vehicles / $c Derek A Paley.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2007
300 $a 1 electronic resource (299 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 69-05, Section: B.
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500 $a Advisors: Leonard, Naomi Ehrich.
502 $b Ph.D. $c Princeton University $d 2007.
520 $a Cooperative control is an emerging engineering field infused with biology, mathematics, and physics. Cooperative control engineers seek decentralized algorithms to coordinate the motion of robotic vehicles. These algorithms-often inspired by animal and insect grouping behavior-are relevant to applications in national security, geographic surveying, and environmental monitoring. This dissertation studies motion control for autonomous data collection by a network of underwater vehicles. Measurements of ocean circulation enable scientists to study climate processes and ecosystems in the ocean. We describe a systematic methodology for decentralized feedback stabilization of autonomous vehicle formations. Vehicles are represented by self-propelled particles with coupled-phase oscillator dynamics. The orientation of each particle's velocity is described by a phase angle that changes in response to the positions and phases of other particles. Particle formations include parallel motion with arbitrary relative spacing and circular motion with symmetric relative spacing. Interaction between particles is modeled by a (state-dependent) graph that may be time-invariant or time-varying and undirected or directed. We apply a cooperative control methodology to control a fleet of autonomous underwater gliders. Underwater gliders soar through the water on a pair of fixed wings, collecting valuable oceanographic data for weeks at a time. We describe the Glider Coordinated Control System (GCCS), which steers multiple gliders to a set of coordinated trajectories. The GCCS automatically controlled up to six gliders continuously for over three weeks in a 800 km2 region in California's Monterey Bay in August 2006. The GCCS enables oceanographers to specify and adapt glider sampling patterns with minimal human intervention.
546 $a English
590 $a School code: 0181
650 4 $a Ocean engineering. $3 660731
650 4 $a Mechanical engineering. $3 649730
653 $a Autonomous vehicles
653 $a Collective motion
653 $a Cooperative control
653 $a Ocean sampling
690 $a 0547
690 $a 0548
710 2 $a Princeton University. $e degree granting institution. $3 3765859
720 1 $a Leonard, Naomi Ehrich $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 69-05B.
790 $a 0181
791 $a Ph.D.
792 $a 2007
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273526