Numerical Simulation of Fuzzy-PID Tension Control System Based on Rotary MRF Damper

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.

Download Full-text

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

10.23919/ccc52363.2021.9550332 ◽

2021 ◽

Author(s):

Liwei Deng ◽

Hongfei Suo ◽

Haonan Ren

Keyword(s):

Control System ◽

Tension Control ◽

Fuzzy Pid ◽

Pid Algorithm ◽

Winding Machine ◽

Tension Control System

Download Full-text

Research on Fuzzy-PID Control for a Tension System of Rotary Magnetorheological Damper

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.16-19.93 ◽

2009 ◽

Vol 16-19 ◽

pp. 93-99

Author(s):

Li Yong Hu ◽

A Liang Chen

Keyword(s):

Control System ◽

Control Strategy ◽

Pid Control ◽

Fuzzy Inference ◽

Control Strategies ◽

Tension Control ◽

Magnetorheological Damper ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Tension Control System

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.

Download Full-text

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.655-657.1505 ◽

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.

Download Full-text

Application of Fuzzy PID Control in Yarn Tension Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.321-324.1748 ◽

2013 ◽

Vol 321-324 ◽

pp. 1748-1752

Author(s):

Hai Xia Zhao ◽

De Gong Chang

Keyword(s):

Control System ◽

Pid Control ◽

Tension Control ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Yarn Tension ◽

On Line ◽

Winding Machine ◽

Tension Control System

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.

Download Full-text