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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Main Authors: Ahmed Neaz, Eun Ha Lee, Tae Hwan Jin, Kyung Chul Cho, Kanghyun Nam
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
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.
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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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AT taehwanjin optimizingyarntensionintextileproductionwithtensionpositioncascadecontrolmethodusingkalmanfilter
AT kyungchulcho optimizingyarntensionintextileproductionwithtensionpositioncascadecontrolmethodusingkalmanfilter
AT kanghyunnam optimizingyarntensionintextileproductionwithtensionpositioncascadecontrolmethodusingkalmanfilter