Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

유전 알고리즘을 이용한 수중운동체 조종성미계수의 민감도 최대화 입력 설계

Full metadata record
DC Field Value Language
dc.contributor.author여동진-
dc.contributor.author이기표-
dc.date.accessioned2021-08-03T06:43:03Z-
dc.date.available2021-08-03T06:43:03Z-
dc.date.issued2006-
dc.identifier.issn1225-1143-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/1564-
dc.description.abstractThe accuracy of estimates of hydrodynamic coefficients can be increased by using sensitivity-maximizing inputs. In this study, sensitivity-maximizing actuator commands of a submersible, which are sequences of bang-bang type commands, were obtained using Genetic Algorithm (GA)optimization technique. By comparing the total sensitivity values, deduced actuator inputs were found to be superior to the other sea trials. Based on the sensitivity distribution of conventional sea trials and sensitivity distribution results through deduced input scenario, a review of submersibles' manoeuvring equations of motion was conducted.-
dc.format.extent8-
dc.publisher대한조선학회-
dc.title유전 알고리즘을 이용한 수중운동체 조종성미계수의 민감도 최대화 입력 설계-
dc.title.alternativeDesign of Sensitivity-Maximizing Input for Submersibles'Manoeuvring Coefficients using Genetic Algorithm Technique-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한조선학회 논문집, v.43, no.2, pp 156 - 163-
dc.citation.title대한조선학회 논문집-
dc.citation.volume43-
dc.citation.number2-
dc.citation.startPage156-
dc.citation.endPage163-
dc.identifier.kciidART001088795-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorSubmersibles-
dc.subject.keywordAuthorSensitivity-maximizing inputs-
dc.subject.keywordAuthorGenetic algorithm-
dc.subject.keywordAuthorSubmersibles-
dc.subject.keywordAuthorSensitivity-maximizing inputs-
dc.subject.keywordAuthorGenetic algorithm-
dc.subject.keywordAuthor수중운동체-
dc.subject.keywordAuthor민감도 최대화 입력-
dc.subject.keywordAuthor유전 알고리즘-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE