Fiber Winding Precision Tension Fuzzy Control System

2010 ◽  
Vol 129-131 ◽  
pp. 370-375 ◽  
Author(s):  
Sheng Le Ren ◽  
Yi Nan Lai ◽  
Yong Zhang Wang ◽  
Hua Lu ◽  
Ye Dai
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Composite Fiber ◽  
Tension Control ◽  
Fuzzy Pid Control ◽  
Angle Sensor ◽  
Error Range ◽  
Fiber Winding ◽  
Winding Tension

Winding molding is a commonly-used molding method for composite fiber materials. In this method, the fiber winding tension control is a key technique in fiber winding since the winding tension directly affects the quality of winded products. Here designed is a closed-loop tension control system, equipped with the PLC as the main controller, the industrial control computer as the upper-host, the alternating numeric servo-electromotor and air cylinder as the actuators, and with the angle sensor of real time feedback filament tension change is designed. Presented below is Fuzzy-PID control algorithm, which combines the advantages of PID and fuzzy control by adopting the theory of adapt fuzzy control in big error range and adapt PID control in small error range. Experimental results prove that the principle of the design scheme is right with tension deviation less than 4 pers, response time about 0.4s and thus meeting the requirements of the system well.

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

2020 ◽  
Vol 22 (7) ◽  
pp. 2163-2187
Author(s):  
Nguyen Dinh Phu ◽  
Nguyen Nhut Hung ◽  
Ali Ahmadian ◽  
Norazak Senu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

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

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.

The Design for Tension Control System of FOG Coil Winding

2013 ◽  
Vol 380-384 ◽  
pp. 317-320 ◽  
Author(s):  
Peng Zhang ◽  
Rui Feng Yang ◽  
Xue Liang Zhang
Keyword(s):  
Control System ◽  
Control Method ◽  
Fast Response ◽  
Tension Control ◽  
The Core ◽  
Fiber Coil ◽  
Fiber Winding ◽  
Coil Winding ◽  
Winding Tension ◽  
Tension Control System

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.

Advanced design and tests of a new electrical control seeding system with genetic algorithm fuzzy control strategy

2021 ◽  
pp. 1-10
Author(s):  
Sheng Wang ◽  
Yanhong Sun ◽  
Chen Yang ◽  
Yongchang Yu
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Fuzzy Control ◽  
Electric Drive ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Seeding Rate ◽  
Fuzzy Pid Control ◽  
Transmission Method ◽  
Better Than

In the existing soybean breeding and planting machinery, the power source of the metering device adopts the ground wheel transmission method mostly. However, this power transmission method is likely to cause slippage during the planting operation, which will cause problems such as the increase of the missed seeding index and the increase of the coefficient of plant spacing. It is not conducive for scientific researchers to carry out breeding operations. Aiming at this problem, an electronically controlled soybean seeding system is designed, and the power of the seed metering device is derived from the motor. In order to improve the control accuracy of the electronically controlled seeding system, the precise control of the soybean seeding rate is finally realized. The electric drive soybean seeding system adopts closed-loop control, the motor model of the electric drive seeding system is established, and the transfer function of the motor is obtained. PID control based on a genetic algorithm is adopted, and the corresponding parameters are substituted into the control system simulation model established in MATLAB/SIMULINK. Field verification tests have been carried out on the conventional fuzzy PID control system and the electric drive soybean planter of the fuzzy PID control system based on a genetic algorithm. The result showed that the average of the repeat-seeding parameter is 1.30% better than the average of conventional seeding system (1.40%), the average of the miss-seeding parameter is 1.08% better than the average of conventional seeding system (2.09%) and the average of row-spacing variation parameter is 2.79% better than the average of conventional seeding system (2.34%). In conclusion, the new seeding system is robust obviously. Field trial results show that seeding with Genetic Algorithm Fuzzy control is better.

The Solar Automatic Tracking Fuzzy PID Control System Based on ARM

2011 ◽  
Vol 143-144 ◽  
pp. 391-395
Author(s):  
Jing Yan Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Control Mode ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Automatic Tracking ◽  
Tracking Mode ◽  
Angle Deviation

To improve tracking precision and increase the utilization of solar energy, the solar automatic tracking fuzzy PID control system based on ARM is designed. Embedded microcontroller 32-bit ARM processor is the core. A kind of mixed tracking mode is adopted, and it combines photoelectric tracking mode and solar trajectory tracking mode. In the solar trajectory tracking mode, the fuzzy PID segmented tracking control method is put forward. The fuzzy control and PID control are combined to control the system. If the system's angle deviation is large, PID control is adopted, else fuzzy control is adopted. And the controller can be automatically switched control mode according to the size of angle deviation. Matlab simulation results indicate that the solar automatic tracking system with fuzzy PID control has a good dynamic characteristics and high tracking accuracy, effectively improves the photoelectric conversion efficiency.

A Precision Tension Control System Based on PIC

2006 ◽  
Vol 532-533 ◽  
pp. 97-100 ◽  
Author(s):  
Sheng Le Ren ◽  
Yong Zhang Wang ◽  
Hua Lu ◽  
Guo Sen Su
Keyword(s):  
Control System ◽  
Composite Fiber ◽  
Tension Control ◽  
Single Chip ◽  
Control Precision ◽  
High Control ◽  
Function Module ◽  
Fiber Winding ◽  
Set Up ◽  
Tension Control System

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.

The Cascade Three-Elements Fuzzy Auto-Adapted PID Control System for Boiler

2010 ◽  
Vol 139-141 ◽  
pp. 1919-1923
Author(s):  
Ming Liang Wu ◽  
Li Li Wei ◽  
Jian Kang Huang ◽  
Ming Yong Wu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Level ◽  
Pid Control ◽  
Power Plants ◽  
Control Unit ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Boiler Water ◽  
Factors Affecting

Medium and Small boilers, which are widely used, are common power equipments in power plants, Smelters, and chemical plants, and important to the safety and production of enterprises. In this paper, the main factors affecting the changing industrial boiler water level have been analyzed, and relevant control theory been studied. A cascade three-impulse supply water Fuzzy-PID control system and the implement of Fuzzy-PID control formula based on IPC and PLC have been introduced .The results of the simulation indicated that the design can overcome the illusive water level and can improve the performance of the system obviously. The cascade three-element feedback control system using IPC and PLC as the center control unit, combining the fuzzy control with the conventional PID control, obtains both virtues of the high precision of PID and the flexibility and adaptability of the fuzzy control.

Application of Fuzzy PID Control in Yarn Tension Control System

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.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

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