Control of a Tower Crane with a Pragmatic Hierarchical Algorithm
Article
Article Title | Control of a Tower Crane with a Pragmatic Hierarchical Algorithm |
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Article Category | Article |
Authors | Abduljabbar, Bilal H. and Billingsley, John |
Journal Title | Journal of Applied Nonlinear Dynamics |
Journal Citation | 10 (2), pp. 197-209 |
Number of Pages | 13 |
Year | 2021 |
Publisher | L & H Scientific Publishing |
Place of Publication | United States |
ISSN | 2164-6457 |
2164-6473 | |
Digital Object Identifier (DOI) | https://doi.org/10.5890/JAND.2021.06.001 |
Web Address (URL) | https://www.lhscientificpublishing.com/Journals/JAND-Download.aspx?volume=2021&issue=2 |
Abstract | Tower crane systems are commonly used at construction sites. The need to damp the swinging of the load presents a task requiring great skill for manual control. This has led earlier researchers to apply elaborate control strategies. In this paper, we propose the use of a ‘pragmatic’ paradigm to define a system that can move the load to the desired target with little or no swing. The essence of pragmatic control is gleaned from autopilot designs of half a century ago. The control is designed as a set of ‘nested loops’. The error in an outer loop defines a demand value for the next inner loop, so for example the load position error defines a corrective velocity. In each case the demand is subjected to a limit. This is continued through each layer until the innermost loop, which might take the form of a velocity loop wrapped around a motor to give crisp velocity control. The dynamic model is derived as a state space representation. The proposed strategy was tested by MATLAB which showed that the strategy is successful and effective to control a tower crane system and suppress the load swing. Comparisons are made between the performance of this simples control strategy and that of the complex published alternatives. |
Keywords | Anti-swing control; Modelling; Nested feedback; Pragmatic control; Tower crane |
ANZSRC Field of Research 2020 | 400702. Automation engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Southern Queensland |
Al-Anbar University, Iraq |
https://research.usq.edu.au/item/qq4yy/control-of-a-tower-crane-with-a-pragmatic-hierarchical-algorithm
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