现代纺织技术

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新型重型宽幅有梭织机控制系统的研发与应用

王志林(1998—),男,河南永城人,硕士研究生,主要从事纺织机械及其控制系统方面的研究 郭建生,E-mail:jsguo@dhu.edu.cn   

  1. 1.新疆大学纺织与服装学院,乌鲁木齐830047;2.东华大学纺织学院,上海 201620
  • 基金资助:
    新疆维吾尔自治区重点研发计划项目(2024B04004-3)

Development and application of a novel control system for heavy-duty wide-width shuttle looms

  1. 1. College of Textiles and Clothing, Xinjiang University, Urumqi 830047, China; 2. College of Textiles, Donghua University, Shanghai 201620, China

摘要: 传统重型宽幅有梭织机在织造棉、麻、高绒等粗支织物时,常存在花纹组织受限、花纹更换复杂以及织机振动大等问题。为了解决该问题,对织机进行了伺服多臂开口及电磁推梭机构改造,配套设计了一种基于EtherCAT总线型运动控制器的织机控制系统。首先根据有梭织机运行情况绘制工作圆图,确定各运动具体时间;在有梭织机主轴安装传感器,通过C#编写的控制系统实时获取主轴转角信息,并根据设定的织物组织数据,灵活调整各机构运动,精确控制相应综框的平滑升降、电磁推梭、卷取、送经和打纬。结果表明:该织机系统能实现对伺服多臂开口机构的控制,通过调用存储的织物花纹组织,调整时序和开口运动参数,即可实现任意花纹织物的生产,满足企业对麻织品花纹组织的需求。另外,该系统实现了推梭、卷取和送经的自由速度控制,可灵活适配多种机型,运动曲线优化后大幅减少了断纱率,降低了织机振动产生的噪声,配合丰富的辅助功能显著提高了粗支、高捻度、刚性纱线的织造效率。

关键词: 织机, 多臂开口, 织物电子纹板, 电磁推梭, 运动控制, 上位机

Abstract: With the rapid development of artificial intelligence in recent years, the transformation of weaving machinery toward intelligence has accelerated, and advanced information technologies and automation tools have been gradually applied to weaving machinery. The development of automated technology in Chinese weaving machines has shown strong momentum, with new technologies such as servo motor-driven dobby shedding, electromagnetic weft insertion devices, and dynamic tension control continuously emerging. However, due to the limited user base, the development of traditional heavy-duty wide-width shuttle looms has been slow. To address issues such as limited pattern organization, complex pattern changes, and significant machine vibration when people weave coarse fabrics like cotton, linen, and high-pile materials, modifications including servo dobby shedding and electromagnetic shuttle pushing mechanisms have been implemented. A corresponding loom control system based on an EtherCAT bus-type motion controller has been designed. To achieve precise coordination of the five key motions of the loom, a working circle diagram was plotted based on the operational status of the loom to determine the specific timing of each motion and design the control scheme. A sensor was installed on the main shaft of the loom to acquire real-time information about the rotation angle through a control system written in C#. According to the set fabric weave data, the movements of each mechanism were flexibly adjusted to precisely control the smooth lifting and lowering of the corresponding heald frames, electromagnetic shuttle pushing, take-up, let-off, and beating-up. Finally, an experimental platform was built to test and analyze the system's functions and optimize the system. Experiments showed that the system can effectively control the servo dobby shedding mechanism. By calling stored fabric pattern data and adjusting the timing and shedding motion parameters, the production of fabrics with arbitrary patterns can be achieved, meeting the enterprise's demand for linen fabric weaves. Meanwhile, free control of shuttle pushing, take-up, and let-off was realized, allowing flexible adaptation to multiple machine types. After motion curve optimization, the yarn breakage rate was significantly reduced, and noise caused by loom vibration was decreased. Coupled with extensive auxiliary functions, the weaving efficiency of coarse, high-twist, and rigid yarns was notably improved. The system mainly focuses on the shedding motion and weft insertion motion. In the later stage, in-depth research can be conducted on the control of warp tension in the take-up and let-off motions. Meanwhile, the control system's functions in auxiliary weaving can be continuously improved. During the weaving process, yarn breakage is difficult to detect, which affects the weaving efficiency. This system provides reference value for machine vision-based yarn breakage detection.

Key words: loom, dobby shedding, fabric electro-patterned board, electromagnetic shuttle pushing, motion control, host computer

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