纺丝生产线控制系统设计及智能控制算法研究

发布时间：2018-08-31 07:45

【摘要】：伴随着人们生活品质的提高,人们对健康、环保、舒适的纺织品的需求愈加的迫切,受产量和质量的约束,现在存在着国内对高性能纯壳聚糖纤维的旺盛需求与低等级壳聚糖纤维低产量之间的矛盾。针对这种情况,本文从实际出发设计了一套纺丝生产线控制系统,满足了生产线控制的基本要求。此外,在处理模拟量PID调节的过程中,将蚁群算法成功的应用到凝固浴液位控制系统的液位调节上。首先,在了解纺丝生产线生产工艺和控制要求的基础上,设计了系统的整体架构,然后对系统的硬件进行选型并提供了选型的依据,对常用的硬件设备的作用做了简单的介绍。其次,对纺丝生产线的监控系统进行搭建,本文设计的监控系统包括两个方面,对生产线现场的底层监控和远程监控。底层的监控是MCGS与西门子PLC通过串口进行的MCGS触摸屏监控,远程的监控是通过GPRS远程监控模块对现场情况进行远程的监测和控制。再次,对传统的PID控制和先进的控制算法进行了简单介绍,引入了蚁群算法并做了系统的描述。对凝固浴控制系统进行建模,提出了将蚁群算法引入到PID的参数整定的设想。最后,通过MATLAB仿真对Z-N法、遗传算法、模糊自适应和蚁群算法进行了仿真对比,从理论的分析和实验结果表明,蚁群算法在该系统的PID参数整定中具有超调量小、整定时间短的优势。这种先进控制与常规控制相结合策略,实现了先进算法与常规控制的协调运行,达到了提高控制质量的效果。
[Abstract]:With the improvement of people's quality of life, people's demand for healthy, environmentally friendly and comfortable textiles is becoming more and more urgent, subject to the constraints of output and quality. There is a contradiction between the domestic demand for high performance pure chitosan fiber and the low yield of low grade chitosan fiber. In view of this situation, this paper designs a set of spinning production line control system, which meets the basic requirements of production line control. In addition, the ant colony algorithm is successfully applied to the level adjustment of solidification bath level control system in the process of PID regulation. Firstly, on the basis of understanding the production process and control requirements of spinning production line, the whole structure of the system is designed, then the hardware selection of the system is selected and the basis of the selection is provided. The function of the commonly used hardware equipment is briefly introduced. Secondly, the monitoring system of spinning production line is built. The monitoring system designed in this paper includes two aspects, the bottom layer monitoring and remote monitoring. The bottom layer monitoring is MCGS touch screen monitoring by serial port between MCGS and Siemens PLC, and remote monitoring is remote monitoring and control through GPRS remote monitoring module. Thirdly, the traditional PID control and advanced control algorithm are introduced, and the ant colony algorithm is introduced and described systematically. The modeling of coagulation bath control system is carried out, and the idea of introducing ant colony algorithm to parameter setting of PID is put forward. Finally, through MATLAB simulation, the Z-N method, genetic algorithm, fuzzy adaptive algorithm and ant colony algorithm are simulated and compared. The theoretical analysis and experimental results show that the ant colony algorithm has a small overshoot in the PID parameter tuning of the system. The advantage of short setting time. The combined strategy of advanced control and conventional control realizes the coordinated operation of advanced algorithm and conventional control, and achieves the effect of improving control quality.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TQ340.64;TP273

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