【摘要】：伴隨著人們生活品質(zhì)的提高,人們對健康、環(huán)保、舒適的紡織品的需求愈加的迫切,受產(chǎn)量和質(zhì)量的約束,現(xiàn)在存在著國內(nèi)對高性能純殼聚糖纖維的旺盛需求與低等級殼聚糖纖維低產(chǎn)量之間的矛盾。針對這種情況,本文從實際出發(fā)設(shè)計了一套紡絲生產(chǎn)線控制系統(tǒng),滿足了生產(chǎn)線控制的基本要求。此外,在處理模擬量PID調(diào)節(jié)的過程中,將蟻群算法成功的應(yīng)用到凝固浴液位控制系統(tǒng)的液位調(diào)節(jié)上。首先,在了解紡絲生產(chǎn)線生產(chǎn)工藝和控制要求的基礎(chǔ)上,設(shè)計了系統(tǒng)的整體架構(gòu),然后對系統(tǒng)的硬件進行選型并提供了選型的依據(jù),對常用的硬件設(shè)備的作用做了簡單的介紹。其次,對紡絲生產(chǎn)線的監(jiān)控系統(tǒng)進行搭建,本文設(shè)計的監(jiān)控系統(tǒng)包括兩個方面,對生產(chǎn)線現(xiàn)場的底層監(jiān)控和遠(yuǎn)程監(jiān)控。底層的監(jiān)控是MCGS與西門子PLC通過串口進行的MCGS觸摸屏監(jiān)控,遠(yuǎn)程的監(jiān)控是通過GPRS遠(yuǎn)程監(jiān)控模塊對現(xiàn)場情況進行遠(yuǎn)程的監(jiān)測和控制。再次,對傳統(tǒng)的PID控制和先進的控制算法進行了簡單介紹,引入了蟻群算法并做了系統(tǒng)的描述。對凝固浴控制系統(tǒng)進行建模,提出了將蟻群算法引入到PID的參數(shù)整定的設(shè)想。最后,通過MATLAB仿真對Z-N法、遺傳算法、模糊自適應(yīng)和蟻群算法進行了仿真對比,從理論的分析和實驗結(jié)果表明,蟻群算法在該系統(tǒng)的PID參數(shù)整定中具有超調(diào)量小、整定時間短的優(yōu)勢。這種先進控制與常規(guī)控制相結(jié)合策略,實現(xiàn)了先進算法與常規(guī)控制的協(xié)調(diào)運行,達到了提高控制質(zhì)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.
【學(xué)位授予單位】：青島科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ340.64;TP273

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本文編號：2214345