scholarly journals Research on Tension Control System of Reciprocating Winding

2022 ◽  
Vol 2160 (1) ◽  
pp. 012080
Author(s):  
Kaijie Zhao ◽  
Sheng Zeng ◽  
Liangliang Zhao

Abstract When the enameled wire is winded onto the poles of the motor stator or rotor, the winding quality hugely relies on the control precision of the tension. Therefore, it is necessary to control the tension of the enameled wire in winding process. A tension control system is built with single chip microcomputer, the encoder and the servo motor. The PID feedback controller and feedforward controller are combined to form feedforward feedback controller, which using feedback information of swing angle deviation and feedforward information of wire frame position to adjust the pay off speed dynamically and control tension of enameled wire further. A procedural experimental modelling method is discussed in order to identify the feedforward model. The experiment is performed, it is found that in the typical situation of setting tension 1500 g, the tension fluctuation rate of the PID controller with feedforward model is only 2%, which is far better than that of pure PID controller with a fluctuation rate of 14%. The result shows that the proposed experimental modelling method hosts the characteristics of good accuracy, universality and applicability.

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.


2010 ◽  
Vol 44-47 ◽  
pp. 2822-2826
Author(s):  
Jian Li ◽  
Xue Song Mei ◽  
Shan Hui Liu

In the printing process, it mainly depends on the stability of systematic tension control to ensure the quality of print. Meanwhile, systematic tension is mainly created from unwinding section, from which it is easy to cause fluctuation and variation of tension. Hence, how to maintain the stability of the tension in unwinding system has become a key problem to tension control system. Unwinding system is a typical multi-input-multi-output, nonlinear and strong coupling system. It is difficult to control with the traditional design method. In this paper, we realize the system’s decoupling and linearization based on the inverse system theory, which make the system change from a coupled and nonlinear system to two order pseudo-linear systems after a series of control variable transformations. We introduce active-damping into the pseudo-linear system to overcome the zero-damping and enhance the ability of disturbance-resist. On the basis of these, a PID controller is designed for the unwinding tension control system. Though simulation and analysis, it shows that the proposed strategy of inverse system decoupling control can achieve the decoupling unwinding control system, and the PID controller which is designed after introducing the active-damping makes the system get an ideal control effect.


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.


2006 ◽  
Vol 532-533 ◽  
pp. 97-100 ◽  
Author(s):  
Sheng Le Ren ◽  
Yong Zhang Wang ◽  
Hua Lu ◽  
Guo Sen Su

As an important factor in composite fiber winding, fiber winding tension influences the product quality directly, and therefore tension control is a key technique in fiber winding techniques. This paper introduces a closed loop tension control system with the PIC single chip computer as the kernel, a function module with TLC5615 D/A converter as the output, AC servomotors as the actuator, and a radius-following arm to measure the real time radius of the scroll. The mechanism of the tension control system is analyzed and the mathematical model is set up. Then the paper expatiates the design of main control circuit, the voltage transformation circuit and the analogy filter circuit. In addition, the paper presents digital filter and control algorithm of the PIC software. The system is proved to have high control precision and rapid time response through performance experiments of the tension control system in different working states, which well meets the anticipated design requirements.


2012 ◽  
Vol 614-615 ◽  
pp. 1449-1452 ◽  
Author(s):  
Chong Chen

When general PID controller appllied into multi-variable decoupling control system, its parameters are difficult to set and self-adaptability is poor. A neural network decoupling controller composed of self-adaptive PID controller and compensated decoupling network is presented, which is based on the analysis of the system model. Simulation results show that the controller designed basically eliminates the coupling effect of the tension control system and improves the dynamic and static performances.


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