journal article·2024-01Open access

Warp yarn tension coupling models and fuzzy PID control for enhancing warp beam unwinding tension stability in sizing machines

Li Tu, Mingrui Guo, Jingan Wang, Weidong Gao

Abstract

The coupling model between unwinding tension and various factors is crucial for understanding warp beam unwinding characteristics and designing tension control systems. However, currently established models are simple and fail to reflect the complexity of the actual unwinding process. Additionally, the traditional unified PID control method for multiple warp beams is difficult to ensure stable unwinding tension for single warp beam, negatively impacting the quality and efficiency of the sizing process. To address these issues, coupling models between tension, radius, speed, turns and air pressure during the warp beam unwinding process were established and validated using constructed detection devices. Experimental results showed that the four types of measured warp beams fit the three coupling models with [Formula: see text] values exceeding 90%, confirming the accuracy of these models. Subsequently, a novel fuzzy adaptive PID control system for single warp beam unwinding tension was proposed based on these models. Unlike traditional methods that measure tension directly, the system utilizes unwinding turns detection device to monitor the real-time changes. Simulation results confirmed that the proposed system maintains constant tension under different reference tensions and unwinding radius. Compared to traditional PID control, it significantly reduces tension fluctuation, with reductions of 64.49% under different speed step disturbances and 23.66% under noise disturbances. The validated models and proposed tension control system in this paper provide a solid theoretical foundation and practical guidance for optimizing the new generation of sizing machines.
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Research context

OpenAlex topics: Textile materials and evaluations · Vibration and Dynamic Analysis · Control and Dynamics of Mobile Robots

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Textile Science and Engineering, Jiangnan University, Wuxi, China

Jiangnan University (Shaoxing) Industrial Technology Research Institute, Shaoxing, China

Funding

Postgraduate Research & Practice Innovation Program of Jiangsu Province · Natural Science Foundation of Jiangsu Province

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