CONTROL OF A WIRE TENSIONING SYSTEM WITH FORCE PREDICTION USING ARTIFICIAL NEURAL NETWORKS

Vukašin Pavlović, Miša Tomić, Sergiu-Dan Stan, Milan Banić, Miloš Simonović, Miloš Milošević

DOI Number
10.22190/FUME230218071P
First page
Last page

Abstract


In addition to the textile industry, the wire winding/unwinding process is used in various fields such as mechanical engineering, electronics, mechatronics and for military purposes. The wire that is wound/unwound has a combination of rotational and translation motion, thus exhibiting a complicated behavior. Improper wire tensioning leads to problems such as entangling. One of the most crucial factors that affect the wire winding/unwinding process is the regulation of the wire tension. This paper briefly describes the developed wire tensioning system that can measure and control wire tension during the winding/unwinding process. Various data was gathered based on the implemented proportional-integral (PI) control and sensors. This data was then used to build a neural network in order to predict force in the wire during the winding/unwinding process.

Keywords

Wire, Tension control, Winding/unwinding, Neural network

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References


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