Method for controlling tension stability of wrap yarn during wrap feeding and rolling process of loom

Abstract

The invention relates to a method for controlling the tension stability of wrap yarn during the wrap feeding and rolling process of a loom, comprising two parts, namely, wrap feeding and rolling control system hardware and a software program of a core controller. The hardware part comprises a main controller PLC, a touch screen, a tension sensor, an encoder, a servo driver, a servo motor and a speed reducer; and the software part employs a novel control algorithm, namely, single nerve cell self-adaptive PID algorithm. The control system is tested on the SAURER400-type rapier loom and good control effect is achieved, the tension fluctuation of wrap yarn of the loom is obviously improved, and the end breakage rate of wrap yarn is greatly decreased; besides, the control method is universal and has certain practical value both in reconstruction of the old loom and in algorithm research of the new loom.

Description

technical field [0001] The invention relates to a tension control mechanism for a textile machine, and is particularly suitable for a warp tension control mechanism of a rapier loom. The international patent classification number is intended to be Int.Cl.D03D 49 / 06. Background technique [0002] At present, most of the let-off and take-up control systems of domestic looms are mechanical. It controls the amount of let-off and take-up through a series of mechanical structures. Practice shows that the mechanical let-off and take-up control system makes the structure of the loom complex, with serious lag, poor flexibility and low precision. In addition, with the high-intensity work of the loom, it will cause mechanical wear and tear, which will significantly reduce the accuracy. Therefore, the mechanical let-off and take-up control system can only be used for middle and low grade looms. [0003] In the textile industry, electronic warp let-off and take-up control systems are ...

AI Technical Summary

Problems solved by technology

The industrial computer has powerful functions and good control effect, but its volume is large and expensive; the related articles and related patents retrieved at present have: 1. "The Control System Design of the Electronic Let-off and Coiling of Loom Based on ADuC824" published by Wu Dongfeng ( Journal of Tianjin University of Technology, 2007, 26 (6): 51-53), the article uses a single-chip microcomputer as the core controller, which has the advantages of precise control and low cost, but the disadvantages are the stability and anti-interference ability of the single-chip microcomputer Poor; 2. Chinese patent 03116881.7 discloses a kind of electronic warp let-off control system and method, it adopts high-speed digital signal processor (DSP) to control servo system to drive warp let-off mechanism, its control algorithm is complicated, is to pass through in each weaving cycle A certain number of interruptions are used to control the let-off amount, and the flexibility of the weaving equipment is poor when adjusting or dealing with bad fabrics; 3. Chinese patent 200320106177.7 discloses an electronic let-off mechanism outside the cord fabric rapier loom, which adopts frequency conversion control and responds Slow speed, low control precision, difficult to adapt to the requirements of medium and high speed weaving equipment

However, the foreign electronic warp let-off and take-up control system is integrated in the loom controller, which is dedicated to weaving specific cloth looms, which has poor flexibility and high cost for users.

[0004] In terms of control algorithm, the traditional PID control is still in the dominant position in the textile industry, but its main disadvantage is that the PID parameters are generally set manually, and the PID parameters obtained by one-time setting are difficult to ensure that the control effect is always in the best state

In recent years, fuzzy PID control has also become the object of people's research and application, but fuzzy PID control requires a lot of experience, and there are certain limitations in parameter tuning

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