Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm

Author(s):  
Liwei Deng ◽  
Hongfei Suo ◽  
Haonan Ren
2013 ◽  
Vol 321-324 ◽  
pp. 1748-1752
Author(s):  
Hai Xia Zhao ◽  
De Gong Chang

When winding yarn, the yarn tension control of a winding machine affects the quality of yarn subsequent processing. For randomicity and instability of the yarn tension in a winding machine, the paper designed a yarn tension control system based on analyzing conventional PID controller, using the fuzzy PID control algorithm to control the yarn tension system and realizing on-line self-adjustment of PID control parameters. The simulation experiment showed that system tension had better response using fuzzy PID control and eliminated nonlinearity and uncertainty of the system.


2013 ◽  
Vol 846-847 ◽  
pp. 224-227
Author(s):  
Yu Bai ◽  
Jian Cheng Yang ◽  
Jing Jing Li ◽  
Xiu Ming Jiang ◽  
Hua Qing Wang ◽  
...  

According to the characteristics of carbon fiber and tension requirement of multilayer angle interlocking loom, tension in the weaving process of carbon fiber needs to be consistent.Based on this requirement, a kind of fuzzy PID controller is designed.Through the real-time detection and feedback of tension sensor, the fuzzy PID controller for the tension control system compensates tension timely, so as to realize the constant tension.In this article, the design ideas of analog PID controller, parameter adjustment rules are introduced.The simulation of tension control system has been done through MATLAB software.The results show that the controller can meet the control requirements.


2011 ◽  
Vol 383-390 ◽  
pp. 7631-7636
Author(s):  
Jie Yan ◽  
Qiu Ju Zhu

The paper means to establish a tension control system of filament winding machine through analyzing the theory tension control system.The auto-adapted PID controller of single neuron are introduced.


2009 ◽  
Vol 16-19 ◽  
pp. 93-99
Author(s):  
Li Yong Hu ◽  
A Liang Chen

A rotary MRF (magnetorheological fluids) damper is introduced in tension control systems. An experimental tension control system is designed by using the MRF damper as tension control actuator. Control strategies of the tension control system are studied. A fuzzy-PID feedback controller for the tension control system is constructed and tested, where the variable parameters of the PID were modified by using the fuzzy inference rules. Experimental results indicate that the fuzzy-PID control strategy can be used in the tension control system to get better performance than the conventional PID control strategy.


2012 ◽  
Vol 627 ◽  
pp. 444-448
Author(s):  
You Zhao Wang ◽  
Huang Jing ◽  
Han Wei Chen

This paper does some researches on the framework and control mechanism of traction and take-up system of Loom, which keep the winding tension constant. A traction and take-up control model using fuzzy neutral network adaptive PID algorithm is designed. The results prove this model is available in constant tension control system. The constant tension control system makes traction and take-up system operate more precisely and improves the quality of fabric.


2012 ◽  
Vol 429 ◽  
pp. 56-61
Author(s):  
Qing Gui Zhou ◽  
Da Zhi Huang

Winding tension is one of the most important factors that affects the winding products' quality. This paper introduces a method to develop tension control system based on data acquisition card, and presents the block diagram of the system which actuators are AC servomotors. In order to meet the demands on tension control system, such as good stability, strong robust and etc., this paper proposes a tension control method which is based on the fuzzy control theory.


2013 ◽  
Vol 655-657 ◽  
pp. 1505-1509
Author(s):  
Gang Yuan Mao ◽  
Mei Wu ◽  
Hui Kang Liu

Tension control system is one of the widely used systems in modern industrial control systems. In tension control system PID parameter setting is one of the main problems affecting the control system performance. However, conventional PID parameter is difficult to set. This article describes a PID fuzzy controller based on adaptive learning, which can change according to the deviation and deviation rate to adjust parameters in real time. Practice shows that such self-learning fuzzy PID controller has better control performance than conventional PID controller in tension control.


2011 ◽  
Vol 211-212 ◽  
pp. 581-584
Author(s):  
Yan Xin Wang ◽  
Chun Feng Zhao

We designed a twin flying winding machine control system based on PLC to improve its performance. The system uses PLC to receive control signals and drives executing machines, employs touch screen to provide a user-friendly interface, uses AC servo system to perform winding and rotor indexing localization, and uses automatic tension control system to enhance the capacity of winding tension control. The system is able to speed up the winding of enameled wire, improve the accuracy of winding localization and indexing, and enhance the winding quality and the interaction between human and machine. It has been proven that the winding machine is easy-to-use and reliable. The system is suitable for automatic assembly line production control and can be applied widely.


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