Detail View

Economical Auto Moment Limiter for Preventing Mobile Cargo Crane Overload
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

DC Field Value Language
dc.contributor.author Noh, Soo-Hoon -
dc.contributor.author Lee, Yong-Seok -
dc.contributor.author Kim, Sang-Ho -
dc.contributor.author Cho, Jae-Sang -
dc.contributor.author Han, Chang-Soo -
dc.contributor.author Lee, Seungyeol -
dc.contributor.author Lee, Dong-Eun -
dc.date.accessioned 2021-01-22T07:29:11Z -
dc.date.available 2021-01-22T07:29:11Z -
dc.date.created 2020-11-26 -
dc.date.issued 2020-11 -
dc.identifier.citation Sensors, v.20, no.21, pp.6355 -
dc.identifier.issn 1424-8220 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/12771 -
dc.description.abstract This study presents a computational method called economical auto moment limiter (eAML) that prevents a mobile cargo crane from being overloaded. The eAML detects and controls, in real time, crane overload without using boom stroke sensors and load cells, which are expensive items inevitable to existing AML systems, hence, being competitive in price. It replaces these stroke sensors and load cells that are used for the crane overload measurement with a set of mathematical formula and control logics that calculates the lifting load being handled under crane operation and the maximum lifting load. By calculating iterative them using only a pressure sensor attached under the derrick cylinder and the boom angle sensor, the mathematical model identifies the maximum descendible angle of the boom. The control logic presents the control method for preventing the crane overload by using the descendible angle obtained by the mathematical model. Both the mathematical model and the control logic are validated by rigorous simulation experiments using MATLAB on two case instances each of which eAML is used and not used, while changing the pressures on the derrick cylinder and the boom angle. The effectiveness and validity of the method are confirmed by comparing the outputs obtained by the controlled experiments performed by using a 7.6 ton crane on top of SCS887 and a straight-type maritime heavy-duty crane along with eAML. The effects attributed to the load and the wind speed are quantified to verify the reliability of eAML under the changes in external variables. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. -
dc.language English -
dc.publisher MDPI AG -
dc.title Economical Auto Moment Limiter for Preventing Mobile Cargo Crane Overload -
dc.type Article -
dc.identifier.doi 10.3390/s20216355 -
dc.identifier.wosid 000589192900001 -
dc.identifier.scopusid 2-s2.0-85096030867 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.identifier.bibliographicCitation Noh, Soo-Hoon. (2020-11). Economical Auto Moment Limiter for Preventing Mobile Cargo Crane Overload. doi: 10.3390/s20216355 -
dc.description.journalClass 1 -
dc.citation.publicationname Sensors -
dc.contributor.nonIdAuthor Noh, Soo-Hoon -
dc.contributor.nonIdAuthor Cho, Jae-Sang -
dc.contributor.nonIdAuthor Han, Chang-Soo -
dc.contributor.nonIdAuthor Lee, Dong-Eun -
dc.identifier.citationVolume 20 -
dc.identifier.citationNumber 21 -
dc.identifier.citationStartPage 6355 -
dc.identifier.citationTitle Sensors -
dc.type.journalArticle Article -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor auto moment limiter -
dc.subject.keywordAuthor rollover prevention -
dc.subject.keywordAuthor cost effectiveness -
dc.subject.keywordAuthor mathematical model of cargo crane -
dc.subject.keywordPlus DYNAMIC-RESPONSES -
dc.subject.keywordPlus CONSTRUCTION -
dc.subject.keywordPlus SAFETY -
dc.subject.keywordPlus MOTION -
dc.subject.keywordPlus SYSTEM -
dc.contributor.affiliatedAuthor Noh, Soo-Hoon -
dc.contributor.affiliatedAuthor Lee, Yong-Seok -
dc.contributor.affiliatedAuthor Kim, Sang-Ho -
dc.contributor.affiliatedAuthor Cho, Jae-Sang -
dc.contributor.affiliatedAuthor Han, Chang-Soo -
dc.contributor.affiliatedAuthor Lee, Seungyeol -
dc.contributor.affiliatedAuthor Lee, Dong-Eun -
Show Simple Item Record

File Downloads

공유

qrcode
공유하기

Related Researcher

이승열
Lee, Seungyeol이승열

Division of Intelligent Robotics

read more

Total Views & Downloads