Economical auto moment limiter for preventing mobile cargo crane overload

Soo Hoon Noh, Yong Seok Lee, Sang Ho Kim, Jae Sang Cho, Chang Soo Han, Seung Yeol Lee, Dong Eun Lee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Article number6355
Pages (from-to)1-22
Number of pages22
JournalSensors
Volume20
Issue number21
DOIs
StatePublished - 1 Nov 2020

Keywords

  • Auto moment limiter
  • Cost effectiveness
  • Mathematical model of cargo crane
  • Rollover prevention

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