Open AccessApplication of Particle Swarm Optimization in Overturning Moment of Crawler Crane
Author(s) -
Haixiang Xu,
Ye Zhang,
Junbo Lei,
Fengqi Wu,
Wen Gong
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/661/1/012031
Subject(s) - particle swarm optimization , moment (physics) , web crawler , point (geometry) , boom , trajectory , computer science , rotation (mathematics) , engineering , control theory (sociology) , simulation , algorithm , mathematics , physics , artificial intelligence , geometry , classical mechanics , world wide web , control (management) , astronomy , environmental engineering
The rotating angle is one of the important operation parameters of jib crane, while the on-site survey of slewing angle is a difficult problem to evaluate the accuracy of angle display. This paper put forward a survey methodology based on the coordinate data around the rotation of marked points on the crane boom, and constructed the cost function by the geometric relations of marked point trajectory, used the particle swarm optimization algorithm to find the optimal solution of estimated angle. The simulation, laboratory experiment and on-site tests showed the survey methodology has the satisfied accuracy and be easy to implement.