Optimal analysis and application of the warp tension control system for a rapier loom

Xiao, Yanjun; Zhang, Zhenpeng; Liu, Zhenhao; Liu, Weiling; Gao, Nan; Zhou, Wei; Mao, Zhe

doi:10.1177/00405175211053662

Cited by 9 publications

(7 citation statements)

References 32 publications

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“…[31][32][33][34] Different measurement techniques were developed to regulate fiber tension, thereby advancing the production of high-performance 3D composite preforms. [35][36][37][38][39] The FO3DWP technology uses the Guide Bar Array (GBA) as yarn nodes to ensure the structural integrity of 3D woven preforms. [40][41][42][43] It is usually imperative to diminish the gaps between the guide bars in order to improve the z-directional fiber volume fraction.…”

Section: Introductionmentioning

confidence: 99%

Optimization control of guide bar array deformation in flexible‐oriented 3D woven process

Liu,

Shan,

Liu

et al. 2024

Polymer Composites

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The flexible‐oriented 3D woven process (FO3DWP) enables the production of high‐performance 3D composite preforms. However, the deformation of the Guide Bar Array (GBA) during the weaving process poses a major challenge and hinders the further advancement of FO3DWP. This study aimed to address this challenge by developing an optimization control method for automatic GBA correction during the manufacturing of 3D orthogonal preforms. The deformation state was predicted using a theoretical model and a control path was designed to reverse the GBA deformation. The height and fiber tension of the control paths were calculated using the particle swarm optimization (PSO) algorithm. A series of 3D woven experiments were conducted to evaluate the effectiveness of the proposed method. The results showed good agreement between the experimental and theoretical deformation eigenvalues (with a difference of less than 15%), and the control path significantly reduced the deformation eigenvalues. This method holds great potential for aerospace applications as it enables high‐quality production through automatic GBA correction by the weaving mechanism.Highlights A control path was designed to automatically correct the deformed GBA. The height and the fiber tension of the control path were calculated using the PSO algorithm. The experimental eigenvalues in the y‐direction were significantly reduced by the optimization control method.

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Section: Introductionmentioning

confidence: 99%

Optimization control of guide bar array deformation in flexible‐oriented 3D woven process

Liu,

Shan,

Liu

et al. 2024

Polymer Composites

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“…To solve the problem of insufficient tension control accuracy, researchers in various countries have carried out in-depth research in this field. Currently, PID is still the most widely used tension control method in the industry, and there are many improved control methods for PID to achieve tension control [1][2][3][4]. With the development of computer technology and modern control theory, modern control methods such as robust control and neural network control are gradually applied in the field of tension control for the roll-to-roll system.…”

Section: Introductionmentioning

confidence: 99%

An ADRC Parameters Self-Tuning Control Strategy of Tension System Based on RBF Neural Network

Liu¹,

Ding²,

Wang³

et al. 2023

Journal of Renewable Materials

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High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll precision coating machine. However, the complex relationships in tension system make the problems of decoupling control difficult to be solved, which has limited the improvement of tension control accuracy for the coating machine. Therefore, an ADRC parameters self-tuning decoupling strategy based on RBF neural network is proposed to improve the control accuracy of tension system in this paper. Firstly, a global coupling nonlinear model of the tension system is established according to the composition of the coating machine, and the global coupling model is linearized based on the first-order Taylor formula. Secondly, according to the linear model of the tension system, a parameters self-tuning decoupling algorithm of the tension system is proposed by integrating feedforward control, ADRC and RBF. Finally, the simulation results show that the proposed tension control strategy has good decoupling control performance and effectively improves the tension control accuracy for the coating machine.

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“…Recently, lots of advanced control algorithms have been applied to loom tension control. For example, reference [3] proposed an improved genetic algorithm to optimize the PID control scheme, the proposed algorithm overcomes the problem that the control performance of the traditional PID control algorithm in the loom tension control system declines. Reference [4] applied the equivalent sliding mode control on carbon fiber diagonal loom to improve the tension control performance and have good robustness to disturbances.…”

Section: Introductionmentioning

confidence: 99%

Observed-based Event-triggered Sliding Mode Control of Networked Control System for Carbon Fiber Diagonal Loom

Li¹,

Liu²,

Zhang³

2023

SJT

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In this paper, an observed-based sliding mode control with event-triggered mechanism for the carbon fiber diagonal loom tension networked control is studied. According to the characteristics of the loom, the networked control is introduced into the loom tension control, the influence of the introduction of network factors is fully considered, and a tension model containing network factors is finally established. An observed-based sliding mode control is adopted. Meanwhile, to further reduce the amount of data transmission and improve the service life of the equipment, an event-triggered condition is also introduced, then the asymptotically stability of the proposed control system and the feasibility of control performance are proved through the Lyapunov functional. Finally, the rapid feasibility of the proposed algorithm is demonstrated by a simulation example.

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Optimal analysis and application of the warp tension control system for a rapier loom

Cited by 9 publications

References 32 publications

Optimization control of guide bar array deformation in flexible‐oriented 3D woven process

Optimization control of guide bar array deformation in flexible‐oriented 3D woven process

An ADRC Parameters Self-Tuning Control Strategy of Tension System Based on RBF Neural Network

Observed-based Event-triggered Sliding Mode Control of Networked Control System for Carbon Fiber Diagonal Loom

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