Design of Tension Control System of Fiberglass Winding Machine Based on Fuzzy Logic Control Algorithm

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 380-384 ◽  
pp. 317-320 ◽  
Author(s):  
Peng Zhang ◽  
Rui Feng Yang ◽  
Xue Liang Zhang

FOG coil (fiber coil) is the core component of the FOG. During the winding, the tension of fiber winding directly affects the performance of fiber coil. The paper proposes a PID controller as the core of the tension control method and establishes the related model between rolling-up fiber spool and discharging fiber spool. The simulation results in Matlab Simulink show that the tension control system can primely coordinate the winding tension and have fast response, small overshoot, high accuracy and stability.


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.


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.


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.


2013 ◽  
Vol 423-426 ◽  
pp. 2805-2808
Author(s):  
Kun Qi Wang ◽  
Chen Cong Meng ◽  
Ping Li ◽  
Jing Qi Fan

This design is a basic method for testing spring fan wheel assembly and steel cable tension control system. PLC is used as logic control core. Stepping motor and magnetic powder braker is used as an executive element. The constant tension control of the running process of the system is completed. The fuzzy control process of PID system includes two parts of tension loading and damping loading. The method of modular software is used to make the program structure clear.


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.


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