Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations

A method was devised to vector propulsion of a robotic pectoral fin by means of actively controlling fin surface curvature. Separate flapping fin gaits were designed to maximize thrust for each of three different thrust vectors: forward, reverse, and lift. By using weighted combinations of these thr...

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Main Authors: John S. Palmisano, Jason D. Geder, Ravi Ramamurti, William C. Sandberg, Banahalli Ratna
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.3233/ABB-2012-0064
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author John S. Palmisano
Jason D. Geder
Ravi Ramamurti
William C. Sandberg
Banahalli Ratna
author_facet John S. Palmisano
Jason D. Geder
Ravi Ramamurti
William C. Sandberg
Banahalli Ratna
author_sort John S. Palmisano
collection DOAJ
description A method was devised to vector propulsion of a robotic pectoral fin by means of actively controlling fin surface curvature. Separate flapping fin gaits were designed to maximize thrust for each of three different thrust vectors: forward, reverse, and lift. By using weighted combinations of these three pre-determined main gaits, new intermediate hybrid gaits for any desired propulsion vector can be created with smooth transitioning between these gaits. This weighted gait combination (WGC) method is applicable to other difficult-to-model actuators. Both 3D unsteady computational fluid dynamics (CFD) and experimental results are presented.
format Article
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institution Kabale University
issn 1176-2322
1754-2103
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Applied Bionics and Biomechanics
spelling doaj-art-0011614edfdc478e9f04b2e72ca929232025-02-03T00:58:54ZengWileyApplied Bionics and Biomechanics1176-23221754-21032012-01-019333334510.3233/ABB-2012-0064Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait CombinationsJohn S. Palmisano0Jason D. Geder1Ravi Ramamurti2William C. Sandberg3Banahalli Ratna4Center for Biomolecular Science and Engineering at the Naval Research Laboratory in Washington, DC, USALaboratory for Computational Physics and Fluid Dynamics at the Naval Research Laboratory in Washington, DC, USALaboratory for Computational Physics and Fluid Dynamics at the Naval Research Laboratory in Washington, DC, USALaboratory for Computational Physics and Fluid Dynamics at the Naval Research Laboratory in Washington, DC, USACenter for Biomolecular Science and Engineering at the Naval Research Laboratory in Washington, DC, USAA method was devised to vector propulsion of a robotic pectoral fin by means of actively controlling fin surface curvature. Separate flapping fin gaits were designed to maximize thrust for each of three different thrust vectors: forward, reverse, and lift. By using weighted combinations of these three pre-determined main gaits, new intermediate hybrid gaits for any desired propulsion vector can be created with smooth transitioning between these gaits. This weighted gait combination (WGC) method is applicable to other difficult-to-model actuators. Both 3D unsteady computational fluid dynamics (CFD) and experimental results are presented.http://dx.doi.org/10.3233/ABB-2012-0064
spellingShingle John S. Palmisano
Jason D. Geder
Ravi Ramamurti
William C. Sandberg
Banahalli Ratna
Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
Applied Bionics and Biomechanics
title Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
title_full Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
title_fullStr Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
title_full_unstemmed Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
title_short Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations
title_sort robotic pectoral fin thrust vectoring using weighted gait combinations
url http://dx.doi.org/10.3233/ABB-2012-0064
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AT raviramamurti roboticpectoralfinthrustvectoringusingweightedgaitcombinations
AT williamcsandberg roboticpectoralfinthrustvectoringusingweightedgaitcombinations
AT banahalliratna roboticpectoralfinthrustvectoringusingweightedgaitcombinations