Steering a Swarm of Autonomous Sailing Vehicles implementing Biomimetic SANET Middleware

Chiu, CC; Chaczko, ZC

Steering a Swarm of Autonomous Sailing Vehicles implementing Biomimetic SANET Middleware

Chiu, CC Chaczko, ZC

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Publisher:: University of Technology, Sydney
Publication Type:: Conference Proceeding
Citation:: 1st Australian Conference on the Applications of Systems Engineering ACASE'12, 2012, pp. 1-2
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Chiu, CC
dc.contributor.author	Chaczko, ZC
dc.contributor.editor	Chaczko, Z https://orcid.org/0000-0002-2816-7510
dc.contributor.editor	Braun, R
dc.date	2012-02-06
dc.date.accessioned	2020-05-16T15:00:04Z
dc.date.available	2020-05-16T15:00:04Z
dc.date.issued	2012-01
dc.identifier.citation	1st Australian Conference on the Applications of Systems Engineering ACASE'12, 2012, pp. 1-2
dc.identifier.isbn	978-0-9872369-4-4
dc.identifier.uri	http://hdl.handle.net/10453/140761
dc.description.abstract	This paper describes the incorporation of object tracking heuristics with a dynamic sailing model for surface sailing vessels, using the maneuvering approach by Jouffroy (2009). A simplified dynamic model is simulated, with a path generation scheme and controller for a fundamental maneuver in sailing known as tacking. In addition, this maneuver is incorporated with obstacle algorithms for detection and avoidance. The incorporation of Sensor-Actor Networks (Sanets) in the sailing vessel makes it possible to incorporate sensors in the structure to monitor localized obstacles in an energy efficient manner, while statistical data is relayed to a centralized base station for post-processing and analysis of global environmental conditions.
dc.language	en
dc.publisher	University of Technology, Sydney
dc.relation.ispartof	1st Australian Conference on the Applications of Systems Engineering ACASE'12
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Steering a Swarm of Autonomous Sailing Vehicles implementing Biomimetic SANET Middleware
dc.type	Conference Proceeding
utslib.location.activity	Sydney, Australia
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-16T15:00:00Z
pubs.place-of-publication	Sydney
pubs.start-date	2012-02-06
utslib.start-page	1
dc.location	Sydney

Abstract:

This paper describes the incorporation of object tracking heuristics with a dynamic sailing model for surface sailing vessels, using the maneuvering approach by Jouffroy (2009). A simplified dynamic model is simulated, with a path generation scheme and controller for a fundamental maneuver in sailing known as tacking. In addition, this maneuver is incorporated with obstacle algorithms for detection and avoidance. The incorporation of Sensor-Actor Networks (Sanets) in the sailing vessel makes it possible to incorporate sensors in the structure to monitor localized obstacles in an energy efficient manner, while statistical data is relayed to a centralized base station for post-processing and analysis of global environmental conditions.

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http://hdl.handle.net/10453/140761