Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/56938
Citations
Scopus Web of ScienceĀ® Altmetric
?
?
Type: Conference paper
Title: Bucket wheel reclaimer modeling as a robotic arm
Author: Lu, T.
Citation: Proceedings of the 2009 IEEE International Conference on Robotics and Biomimetics, Guilin, China December 19 -23, 2009: pp.263-268
Publisher: IEEE
Publisher Place: USA
Issue Date: 2009
ISBN: 9781424447756
Conference Name: ROBIO 2009 (2009 : Guilin, China)
Statement of
Responsibility: 
Tien-Fu Lu
Abstract: Bucket Wheel Reclaimer (BWR) has been widely used for stacking/reclaiming bulk materials (i.e. iron ore) onto/from stockpiles in mining industry. Generally speaking, current BWRs are manually operated, remotely operated, or automated to simply follow predefined trajectory patterns. BWRs are very large in size, heavy in weight, expensive in price and slow in motion. It is commonly agreed in the industry that the current stacking/reclaiming efficiency can be largely improved leading to huge amount of savings in dollar terms. However, as BWRs are always heavily engaged in production and can not be easily spared for the required study and development for efficiency improvement, a close to real BWR model would be highly desirable and greatly beneficial to carry out necessary studies and preparations. This paper presents the work carried out for the modelling of a typical BWR using Matlab/Simulink including not only the kinematics and dynamics of a typical BWR but also the friction forces from its joints, limitation of its encoder resolutions, and random disturbances to cover the un-modelled dynamics. Besides, a hybrid controller, which consists of a fuzzy logic controller on top of a model based portion, is developed to control the motion of the BWR. Simulations are conducted, and the results demonstrate satisfactory performance and prove the developed model can be used for further studies to improve relevant production efficiencies.
Keywords: Bucket wheet reclaimer
modeling and simulation
control
fuzzy logic
DOI: 10.1109/ROBIO.2009.5420655
Published version: http://dx.doi.org/10.1109/robio.2009.5420655
Appears in Collections:Aurora harvest
Mechanical Engineering conference papers

Files in This Item:
There are no files associated with this item.


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