scholarly journals Application of embedded soft PLC in the control system of rapier loom

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257629
Author(s):  
Yanjun Xiao ◽  
Linhan Shi ◽  
Wei Zhou ◽  
Feng Wan ◽  
Weiling Liu
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Production Efficiency ◽  
Tension Control ◽  
Effective Control ◽  
Maintenance Cost ◽  
Pid Algorithm ◽  
Hardware System ◽  
Warp Tension ◽  
Soft Plc

At present, the rapier loom has gradually become the mainstream equipment in the manufacturing industry. In order to make the rapier loom realize automated production and further improve the production efficiency of the rapier loom, improve the programmability of the system, and reduce the cost of system maintenance. The thesis developed a rapier loom control system based on embedded soft PLC, and carried out experiments and applications in the field. The contribution and innovation of this paper is to develop a complete low-cost control system, and through a genetic algorithm optimized PID algorithm to complete the more effective control of the loom tension system. The embedded soft PLC system proposed in this paper reduces the overall maintenance cost of the system and improves the programmability of the system. This text carries on the systematic scheme design to the embedded soft PLC from the hardware system and the software system respectively. First, according to the actual requirements, this article designs the overall scheme of the embedded software PLC hardware system with STM32F407ZGT6 as the core. Then this article is based on the embedded soft PLC hardware platform, according to the international standard of industrial control programming, writes the embedded soft PLC low-level driver software. Secondly, this article analyzes the factors that affect the warp tension during the operation of the rapier loom, and proposes the use of genetic algorithm to optimize the warp tension control method of the traditional PID algorithm. Finally, we conducted verification tests and on-site application debugging for the entire set of rapier loom embedded soft PLC control system. We controlled the warp tension as the main experimental object. The results show that this control system effectively improves the control accuracy of the warp tension of the rapier loom and meets the actual needs of industrial applications. The whole system has a good application prospect in the warp tension control of rapier looms.

Optimal analysis and application of the warp tension control system for a rapier loom

2021 ◽  
pp. 004051752110536
Author(s):  
Yanjun Xiao ◽  
Zhenpeng Zhang ◽  
Zhenhao Liu ◽  
Weiling Liu ◽  
Nan Gao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Control ◽  
Performance Optimization ◽  
Experimental Studies ◽  
Tension Control ◽  
Control Performance ◽  
Improved Genetic Algorithm ◽  
Warp Tension ◽  
Tension Control System

Traditional proportional–integral–derivative (PID) control performance optimization is an essential method to improve a loom’s warp tension control performance. This work proposes an improved genetic algorithm optimized PID control scheme to overcome the decline in control performance of the traditional PID control algorithm in a loom’s warp tension control system. Through the decoupling analysis of loom motion mechanism, the establishment of warp tension model and the optimization of fitness evaluation mechanism of genetic algorithm can effectively overcome the problems of local optimal solution and algorithm degradation of genetic algorithm. Simulation experiments were carried out with the traditional PID, the integral separation PID, and the genetic PID in warp tension control. The results show the advantage of the genetic-PID algorithm to control warp tension stability. Ultimately, according to the functional characteristics of the loom mechanism, a tension control platform for experimental studies was established. The test results show that the maximum fluctuation range of warp tension is within [−2, +6] at the test speed of 850 rpm, which meets the requirements of long-term stable and reliable control of warp tension under different weaving conditions.

Research on integral separation control of warp tension based on fuzzy parameter optimization

2021 ◽  
pp. 1-14
Author(s):  
Yanjun Xiao ◽  
Zhenpeng Zhang ◽  
Zhenhao Liu ◽  
Zonghua Zhang ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Control System ◽  
Control Level ◽  
Fuzzy Optimization ◽  
Optimization Theory ◽  
Tension Control ◽  
Separation Control ◽  
Control Effect ◽  
Forming Mechanism ◽  
Warp Tension ◽  
Integral Separation

In textile machines, the stability of warp tension is one of the decisive factors for the reliability, stability and product quality of weaving process. In order to meet the improving requirement for weaving efficiency and fabric quality, it is proposed that a fuzzy optimization integral separation PID warp tension control scheme based on process sampling to improve the warp tension control level of loom. Aiming at the problems of time-varying, nonlinear and variable coupling in the warp tension control system of loom, the forming mechanism of warp tension is modeled and analyzed, and the sampling scheme of warp tension based on process is proposed. Based on the periodic change of warp tension at macro level and continuous fluctuation at micro level, the integral separation control and fuzzy optimization theory are introduced to optimize the control effect of the control system on the basis of classical PID control algorithm. Finally, the simulation and experiment show that the scheme can improve the tension controls performance and effectively reduce the tension error fluctuation.

Research on Tension Control Model for Traction and Take-up System of Loom

2012 ◽  
Vol 627 ◽  
pp. 444-448
Author(s):  
You Zhao Wang ◽  
Huang Jing ◽  
Han Wei Chen
Keyword(s):  
Control System ◽  
Control Mechanism ◽  
Control Model ◽  
Tension Control ◽  
Pid Algorithm ◽  
Constant Tension ◽  
Winding Tension ◽  
Tension Control System ◽  
And Control

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.

Intelligent Robot Motion Control System Based on Immune Genetic Algorithm

2014 ◽  
Vol 608-609 ◽  
pp. 703-707
Author(s):  
Zhong Li Zhan ◽  
Qiang Wang
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Motion Control ◽  
Intelligent Robot ◽  
Immune Genetic Algorithm ◽  
Motion Control System ◽  
Pid Algorithm ◽  
Core Technology ◽  
Adaptive Adjustment ◽  
Output Time

The robot's motion control system is the core technology of intelligent robot. In this paper based on immune genetic algorithm, we improve the intelligent robot control system, and design the intelligent robot action output system with adjustable ratio combined with the PID algorithm. The system has the adaptive adjustment function, by adjusting the proportional coefficient P, which can reduce the output error of the system, improve the adaptability of the system and accelerate the speed of motion control. Finally, we use Siemens S7-200 series products to simulate the action output, and obtain the output time and residual of action under different proportional coefficient P by simulation. It provides the technical reference for the research on control algorithm of intelligent robot.

Warp Tension Control System Based on IMC

2014 ◽  
Vol 635-637 ◽  
pp. 1294-1298
Author(s):  
Zhen Pan ◽  
Peng Luo ◽  
Zhen Yu Wu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Permanent Magnet Synchronous Motor ◽  
Internal Model Control ◽  
Adjustable Parameter ◽  
Tension Control ◽  
Factors Influencing ◽  
Warp Tension ◽  
Model Control ◽  
Tension Control System

To ensure stability of warp tension during weaving process, the paper presented a warp tension control system which uses two permanent magnet synchronous motor (PMSM) drive let-off and take-up mechanism respectively. Based on analyzing factors influencing warp tension, a warp tension mathematical model was established. The paper proposed a tension adjustment arithmetic based on internal model control (IMC) method. The method has only one adjustable parameter which decides performance of the system. The simulation results show that the warp tension control system based on IMC has a fine effect on tension stability of warp and it is significantly superior to conventional PID control in terms of robustness and immunity.

Genetic Algorithm Based Fuzzy Logic Controller for Wire-EDM Machine

2014 ◽  
Vol 536-537 ◽  
pp. 1273-1276
Author(s):  
Chen Pan ◽  
Ru Qing Chen
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Control System ◽  
Steady State ◽  
Closed Loop ◽  
Fuzzy Logic Controller ◽  
Tension Control ◽  
Wire Edm ◽  
Wire Tension ◽  
Tension Control System

Wire tension as well as wire feed should be controlled tightly for the geometry and corner accuracy of wire-EDM. A closed-loop wire tension control system for Micro-Wire-EDM is presented to guarantee a smooth wire transport and a constant tension value. To keep smooth wire transportation and avoid wire breakage during wire feeding, the reel roller is modified and the clip reel is removed from the wire transport mechanism. A genetic algorithm-based fuzzy logic controller (FLC) is proposed to investigate the dynamic performance of the closed-loop wire tension control system. Theoretical analysis and experimental research demonstrate that the developed wire transport system can result in satisfactory transient response, steady-state response and robustness. The proposed FLC can obtain faster transient response and smaller steady-state error than PI controller.

scholarly journals Smart aerosonde UAV longitudinal flight control system based on genetic algorithm

2021 ◽  
Vol 10 (5) ◽  
pp. 2433-2441
Author(s):  
Ahmed Elbatal ◽  
Ahmed Medhat Youssef ◽  
Mohamed M. Elkhatib
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Flight Control ◽  
Pid Controller ◽  
Parameters Optimization ◽  
Flight Control System ◽  
Pid Algorithm ◽  
Controller Performance ◽  
Self Tuning ◽  
Better Than

Synthesis of a flight control system for such an aircraft that achieves stable and acceptable performance across a specified flying envelope in the presence of uncertainties represents an attractive and challenging design problem. This study uses the genetic self-tuning PID algorithm to develop an intelligent flight control system for the aerosonde UAV model. To improve the system's transient responses, the gains of the PID controller are improved using a genetic algorithm (GA). Simulink/MATLAB software is used to model and simulate the proposed system. The proposed PID controller integrated with the GA is compared with the classical one. Three simulation scenarios are carried out. In the first scenario, and at normal conditions, the proposed controller performance is better than the classical one. While in the second scenario, identical results are achieved from both controllers. Finally, in the third scenario, the PID controller with GA shows the robustness and durability of the system compared with the classical PID in presence of external wind disturbance. The simulation results prove the system parameters optimization.

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