Advanced Textile Technology ›› 2023, Vol. 31 ›› Issue (6): 207-215.

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Tension control of rolling and dyeing machines based on chaotic particle swarm auto disturbance rejection control#br#

  

  1. a.School of Mechanical Engineering; b.Tianjin Key Laboratory of Modern Mechanical and Electrical Equipment Technology, Tiangong University, Tianjin 300387, China
  • Online:2023-11-10 Published:2023-11-17

基于混沌粒子群自抗扰控制的轧染机张力控制

  

  1. 天津工业大学 a.机械工程学院;b.天津市现代机电装备技术重点实验室,天津 300387
  • 通讯作者: 赵世海,E-mail:tjshzhao@163.com
  • 作者简介:李幸芳(1998—),女,辽宁本溪人,硕士研究生,主要从事机电一体化方面的研究。
  • 基金资助:
    天津市科技支撑重点计划项目(15ZCDGX00840)

Abstract: Continuous pad dyeing machine is a typical multi-unit joint equipment. According to its pad dyeing process, the continuous pad dyeing machine is divided into unwinding, pad dyeing, drying and winding units. The continuous pad dyeing machine needs to be controlled by constant tension during operation to ensure uniform dyeing of the fabric. If the fabric is subjected to excessive tension, it will produce warp and weft contraction and even fracture, which will affect the quality of pad dyeing. If the fabric tension is too small, it will produce wrinkles or fabric deviation, which seriously affects the economic benefits of enterprises. The pad dyeing unit is the most critical unit of the continuous pad dyeing machine, and its tension control effect will directly affect the printing and dyeing quality of the fabric. Therefore, it is very important to ensure the constant tension of the fabric during the operation of the continuous pad dyeing machine. In this paper, the tension control system of the pad dyeing unit of the continuous pad dyeing machine is taken as the research object. In view of the difficulty of tension control such as tension coupling, the nonlinear coupling mathematical model of the tension system of the rolling mill is established, the static decoupling model is obtained, the control algorithm is designed and verified by simulation experiments.
Firstly, according to the operation mechanism of pad dyeing unit and its structure diagram, the parameters such as moment of inertia in pad dyeing process are analyzed, and the dynamic model of pad dyeing unit is established according to the law of mass conservation and Hooke 's law. By observing the tension mathematical model of pad dyeing unit, it is concluded that there are tension coupling and tension speed coupling between adjacent two rollers, and the system has the characteristics of nonlinear, time-varying, multi-interference and strong coupling. It is difficult to achieve the ideal control effect for the conventional PID controller of this kind of system. In this paper, the tension controller of adjacent rolling workshop is designed by using the combination of chaotic particle swarm optimization ( CPSO ) and active disturbance rejection control ( ADRC ). The dynamic coupling part of the tension system is estimated and compensated by the active disturbance rejection algorithm to realize the complete decoupling of the system, and the chaotic particle swarm optimization algorithm is used to adjust the main parameters of the active disturbance rejection controller online. The tension system of pad dyeing unit is simulated by MATLAB / Simulink, and the control effect of chaotic particle swarm auto disturbance rejection controller and conventional PID controller is observed. The experimental results show that the chaotic particle swarm active disturbance rejection controller is insensitive to the change of internal parameters and has good anti-interference. The control accuracy and stability are better than the conventional PID controller, and it can effectively suppress the tension fluctuation caused by coupling and interference. It is of great significance to improve the overall operation performance of the continuous pad dyeing machine.

Key words:  tension control, decoupling control, anti-interference, active disturbance rejection control, chaos particle swarm optimization algorithm

摘要: 以连续轧染机轧车部分织物张力控制为研究对象,针对其张力耦合等因素导致的张力控制难的问题,建立了轧车部分张力系统的非线性耦合数学模型,并推导出静态解耦模型。采用混沌粒子群优化算法与自抗扰控制技术结合的方法,设计了相邻轧车间的张力控制器,通过自抗扰算法主动估计和补偿张力系统动态耦合部分,实现了系统的静、动态解耦;并采用混沌粒子群算法在线自整定自抗扰控制器中的主要参数。通过仿真实验与常规PID控制器对比发现,混沌粒子群自抗扰控制器能使张力系统实现解耦控制及抑制内外部干扰引起的张力波动,保证轧车恒张力稳定运行,提高系统的稳定性和抗干扰性能。

关键词: 张力控制, 解耦控制, 抗干扰, 自抗扰控制, 混沌粒子群算法

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