Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/206571
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dc.coverage.spatialInstrumentation engineering
dc.date.accessioned2018-06-26T10:13:57Z-
dc.date.available2018-06-26T10:13:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/206571-
dc.description.abstractIn the recent years, increasing the autonomy of the underwater vehicles is an important newlineelement in order to deal with highly hazardous and unknown ocean environment. newlineNowadays, autonomous underwater vehicles (AUVs) are mostly preferred for underwater newlineintervention tasks in opposed to remotely operated vehicles (ROVs) to avoid newlineoperator fatigue and ensure their safety. Mostly the underwater intervention tasks involved newlinedeep sea pipelines survey and tracking, explorations of the ocean resources, newlineoceanographic mapping etc. In these applications, the accurate position and attitude newlinecontrol of an AUV is highly desirable to acquire good quality of data since this is highly newlinedependent on the accuracy of the station keeping and position tracking of the AUV. newlineHowever, to achieve accurate trajectory tracking control of an AUV is very difficult due newlineto unstructured nature of underwater environment and vehicle dynamics is highly nonlinear, newlinecoupled and time-varying. In addition to these, variations in the hydrodynamic newlinecoefficients with different operating conditions and vehicle may subject to unknown newlineforces such as ocean currents which makes trajectory tracking control design even more newlinecomplicated. Thus, it is highly desirable to have dedicated AUV tracking control system newlinewhich has capability to cope up with uncertain nature of the ocean environment. newlineFor deep-sea autonomous nontrivial underwater tasks, particularly those are inaccessible newlineto humans require a manipulator arm mounted on the underwater vehicle, refereed newlineas Autonomous underwater vehicle-manipulator system (AUVMS). However, position newlinecontrol of AUVMS becomes even more difficult because of increased non-linearity, newlinestrong coupling between manipulator and AUV, and resulting high dimensional nature. newlineAlso due to attached manipulator arm, AUVMS becomes a kinematically redundant newlinestructure, requiring redundancy resolution schemes to handle the situation. To avoid newlineredundancy resolution problem, the task-space based control scheme designs have been newlinesuggested in this work. The main ad
dc.format.extent220p
dc.languageEnglish
dc.relation118b
dc.rightsuniversity
dc.titleSome studies on Control of Autonomous Underwater Vehicles
dc.title.alternativen.a.
dc.creator.researcherLondhe Pandurang Shahaji
dc.subject.keywordAutonomous vehicles
dc.description.noteBibliography
dc.contributor.guideWaghmare Laxman M.
dc.publisher.placeNanded
dc.publisher.universitySwami Ramanand Teerth Marathwada University
dc.publisher.institutionFaculty of Engineering
dc.date.registered25/11/2014
dc.date.completed30/10/2017
dc.date.awarded28/04/2018
dc.format.dimensionsn.a.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering

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01_title.pdfAttached File48.86 kBAdobe PDFView/Open
02_certificate.pdf17.35 kBAdobe PDFView/Open
03_abstract.pdf44.43 kBAdobe PDFView/Open
04_declaration.pdf39.46 kBAdobe PDFView/Open
05_acknowledgement.pdf61.66 kBAdobe PDFView/Open
06_contents.pdf63.79 kBAdobe PDFView/Open
07_list_of_tables.pdf69.9 kBAdobe PDFView/Open
08_list_of_figures.pdf186.4 kBAdobe PDFView/Open
09_abbreviations.pdf40 kBAdobe PDFView/Open
10_chapter1.pdf168.05 kBAdobe PDFView/Open
11_chapter2.pdf707.21 kBAdobe PDFView/Open
12_chapter3.pdf779.84 kBAdobe PDFView/Open
13_chapter4.pdf1.88 MBAdobe PDFView/Open
14_chapter5.pdf1.83 MBAdobe PDFView/Open
15_chapter6.pdf1.02 MBAdobe PDFView/Open
16_chapter7.pdf439.17 kBAdobe PDFView/Open
17_conclusion.pdf43.69 kBAdobe PDFView/Open
18_bibliography.pdf85.45 kBAdobe PDFView/Open


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