Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter
The production of textiles has undergone a considerable transformation, progressing from its primitive origins in hand-weaving to the implementation of contemporary automated systems. Weaving yarn into fabric is a crucial process in the textile industry that requires meticulous attention to output q...
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MDPI AG
2023-06-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/12/5494 |
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author | Ahmed Neaz Eun Ha Lee Tae Hwan Jin Kyung Chul Cho Kanghyun Nam |
author_facet | Ahmed Neaz Eun Ha Lee Tae Hwan Jin Kyung Chul Cho Kanghyun Nam |
author_sort | Ahmed Neaz |
collection | DOAJ |
description | The production of textiles has undergone a considerable transformation, progressing from its primitive origins in hand-weaving to the implementation of contemporary automated systems. Weaving yarn into fabric is a crucial process in the textile industry that requires meticulous attention to output quality products, particularly in the tension control section. The efficiency of the tension controller in relation to the yarn tension significantly affects the quality of the resulting fabric, as proper tension control leads to strong, uniform, and aesthetically pleasing fabric, while poor tension control can cause defects and yarn breakage, leading to production downtime and increased costs. Maintaining the desired yarn tension during textile production is crucial, although it poses several problems, such as the continuous diameter change of the unwinder and rewinder sections leading to system change. Another problem faced by the industrial operation is maintaining proper tension on the yarn while changing the roll-to-roll operation velocity. In this paper, an optimized method for controlling yarn tension through the cascade control of tension and position, incorporating feedback controllers, feedforward, and disturbance observers, has been proposed to make the system more robust and suitable for industrial use. In addition, an optimum signal processor has been designed to obtain sensor data with reduced noise and minimal phase difference. |
first_indexed | 2024-03-11T01:56:50Z |
format | Article |
id | doaj.art-3da525d753f047bf9a414ff4bb73eacf |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T01:56:50Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-3da525d753f047bf9a414ff4bb73eacf2023-11-18T12:31:51ZengMDPI AGSensors1424-82202023-06-012312549410.3390/s23125494Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman FilterAhmed Neaz0Eun Ha Lee1Tae Hwan Jin2Kyung Chul Cho3Kanghyun Nam4School of Mechanical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Republic of KoreaEnergy System Research Center, Korea Textile Machinery Convergence Research Institute, Gyeongsan 38542, Republic of KoreaEnergy System Research Center, Korea Textile Machinery Convergence Research Institute, Gyeongsan 38542, Republic of KoreaEnergy System Research Center, Korea Textile Machinery Convergence Research Institute, Gyeongsan 38542, Republic of KoreaSchool of Mechanical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Republic of KoreaThe production of textiles has undergone a considerable transformation, progressing from its primitive origins in hand-weaving to the implementation of contemporary automated systems. Weaving yarn into fabric is a crucial process in the textile industry that requires meticulous attention to output quality products, particularly in the tension control section. The efficiency of the tension controller in relation to the yarn tension significantly affects the quality of the resulting fabric, as proper tension control leads to strong, uniform, and aesthetically pleasing fabric, while poor tension control can cause defects and yarn breakage, leading to production downtime and increased costs. Maintaining the desired yarn tension during textile production is crucial, although it poses several problems, such as the continuous diameter change of the unwinder and rewinder sections leading to system change. Another problem faced by the industrial operation is maintaining proper tension on the yarn while changing the roll-to-roll operation velocity. In this paper, an optimized method for controlling yarn tension through the cascade control of tension and position, incorporating feedback controllers, feedforward, and disturbance observers, has been proposed to make the system more robust and suitable for industrial use. In addition, an optimum signal processor has been designed to obtain sensor data with reduced noise and minimal phase difference.https://www.mdpi.com/1424-8220/23/12/5494roll-to-roll controltension–position cascade controlcontrol schematic with disturbance observersignal processing with Kalman filterrobustness control |
spellingShingle | Ahmed Neaz Eun Ha Lee Tae Hwan Jin Kyung Chul Cho Kanghyun Nam Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter Sensors roll-to-roll control tension–position cascade control control schematic with disturbance observer signal processing with Kalman filter robustness control |
title | Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter |
title_full | Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter |
title_fullStr | Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter |
title_full_unstemmed | Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter |
title_short | Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter |
title_sort | optimizing yarn tension in textile production with tension position cascade control method using kalman filter |
topic | roll-to-roll control tension–position cascade control control schematic with disturbance observer signal processing with Kalman filter robustness control |
url | https://www.mdpi.com/1424-8220/23/12/5494 |
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