一种多数据融合的针梳机自调匀整机构控制方法及系统

Through multi-data fusion and nonlinear PID control, the self-adjusting leveling mechanism of the carding machine realizes real-time monitoring and precise adjustment of the fiber sliver state, solving the problem of lag in fiber sliver unevenness control in existing technologies, and improving spinning quality and production stability.

CN122411091APending Publication Date: 2026-07-17ZHEJIANG SIEBEL TEXTILE MASCH TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG SIEBEL TEXTILE MASCH TECH CO LTD
Filing Date
2026-06-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing uniformity control system of the combing machine relies on a single sensor signal, which cannot accurately reflect the real-time dynamic characteristics of the fiber sliver, resulting in control lag and untimely adjustment, affecting the fiber sliver uniformity and yarn quality.

Method used

A multi-data fusion control method is adopted, which acquires fiber sliver state characteristic data through thickness sensor, traction force sensor and vibration acceleration sensor, and uses multi-modal feature fusion network to perform data fusion. Combined with nonlinear PID control parameter set, the speed ratio of front and rear rollers is adjusted in real time to improve fiber sliver uniformity.

Benefits of technology

It significantly improves the accuracy and stability of sliver detection, enables timely identification and fine adjustment of sliver unevenness trends, reduces sliver unevenness, and improves yarn quality.

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Abstract

本申请涉及纺织机械智能控制技术领域,尤其是涉及一种多数据融合的针梳机自调匀整机构控制方法及系统,其包括在牵伸区多点部署厚度、牵伸力与振动传感器,通过小波与滑动窗口滤波处理信号,利用注意力机制融合多模态特征生成不匀度指数,按不匀等级调用非线性PID参数调节罗拉速比,并基于偏差反馈触发增量学习更新模型。本申请能够显著提升纤条匀整精度、响应速度与工况适应性。
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