Research on Tension Control System of Filament Winding Machine

2011 ◽  
Vol 383-390 ◽  
pp. 7631-7636
Author(s):  
Jie Yan ◽  
Qiu Ju Zhu
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Single Neuron ◽  
Filament Winding ◽  
Tension Control ◽  
Winding Machine ◽  
Tension Control System

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.

Design and Analysis of the Fuzzy PID Controller of the Carbon Fiber Multilayer Loom

2013 ◽  
Vol 846-847 ◽  
pp. 224-227
Author(s):  
Yu Bai ◽  
Jian Cheng Yang ◽  
Jing Jing Li ◽  
Xiu Ming Jiang ◽  
Hua Qing Wang ◽  
...  
Keyword(s):  
Control System ◽  
Carbon Fiber ◽  
Real Time ◽  
Pid Controller ◽  
Tension Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Tension Sensor ◽  
Tension Control System ◽  
Design Ideas

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.

scholarly journals Research on Tension Control System of Reciprocating Winding

2022 ◽  
Vol 2160 (1) ◽  
pp. 012080
Author(s):  
Kaijie Zhao ◽  
Sheng Zeng ◽  
Liangliang Zhao
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Feedback Controller ◽  
Tension Control ◽  
Single Chip ◽  
Experimental Modelling ◽  
Feedback Information ◽  
Modelling Method ◽  
Fluctuation Rate ◽  
Tension Control System

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.

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
Keyword(s):  
Control System ◽  
Control Method ◽  
Block Diagram ◽  
Tension Control ◽  
Logic Control ◽  
Data Acquisition Card ◽  
Winding Machine ◽  
Winding Tension ◽  
Tension Control System ◽  
Develop Tension

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.

Research on Unwinding Tension System Control Based on Inverse System Theory

2010 ◽  
Vol 44-47 ◽  
pp. 2822-2826
Author(s):  
Jian Li ◽  
Xue Song Mei ◽  
Shan Hui Liu
Keyword(s):  
System Theory ◽  
Control System ◽  
Pid Controller ◽  
Control Variable ◽  
Active Damping ◽  
Inverse System ◽  
Tension Control ◽  
System Control ◽  
The Stability ◽  
Tension Control System

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.

Based on the Application of Self-Learning Fuzzy PID Control in Tension Control System

2013 ◽  
Vol 655-657 ◽  
pp. 1505-1509
Author(s):  
Gang Yuan Mao ◽  
Mei Wu ◽  
Hui Kang Liu
Keyword(s):  
Control System ◽  
Adaptive Learning ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Tension Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Industrial Control Systems ◽  
Tension Control System ◽  
Self Learning

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.

Simulation of Two AC Motor Coiling Tension Control System

2012 ◽  
Vol 614-615 ◽  
pp. 1449-1452 ◽  
Author(s):  
Chong Chen
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Model Simulation ◽  
Coupling Effect ◽  
Tension Control ◽  
Decoupling Control ◽  
System Model ◽  
Ac Motor ◽  
Tension Control System ◽  
Coiling Tension

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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