本文關鍵詞： 智能控制算法 集散控制 NetLinx網(wǎng)絡 Intouch組態(tài)軟件 硬件組態(tài)　出處：《沈陽工業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：污水回用是關系到國計民生的大事,也是實現(xiàn)我國可持續(xù)發(fā)展戰(zhàn)略的重要舉措。為了減少污水回用成本,提高出水水質(zhì),必須采用先進的污水回用控制技術,提高污水回用的處理規(guī)模和控制系統(tǒng)的全自動化及智能化。大中型污水回用系統(tǒng)的設備分布比較分散且控制難度較高,目前實際應用的控制系統(tǒng)都有一定的缺陷。而且污水回用處理是一個純滯后、非線性、動態(tài)不穩(wěn)定的復雜系統(tǒng),很難建立精準的數(shù)學模型,因而影響整個系統(tǒng)的控制效果,為此本文從污水回用的控制系統(tǒng)設計和智能控制算法兩個方面進行研究。本文針對實際的污水回用工程,分析了污水回用處理的工藝及系統(tǒng)需求,并提出了控制系統(tǒng)的設計方案。根據(jù)控制系統(tǒng)方案,設計了基于NetLinx網(wǎng)絡架構(gòu)的羅克韋爾PLC集散控制系統(tǒng),并分別對現(xiàn)場層的設備控制子系統(tǒng),控制層的PLC軟硬件和信息層的上位機硬件及監(jiān)控界面進行了設計。采用Intouch組態(tài)軟件設計上位機監(jiān)控界面,通過NetLinx網(wǎng)絡與下位機和現(xiàn)場檢測儀表及設備實現(xiàn)數(shù)據(jù)交換與過程控制。在以太網(wǎng)(EtherNet/IP)、控制網(wǎng)(ControlNet)和設備網(wǎng)(DeviceNet)構(gòu)成的NetLinx網(wǎng)絡架構(gòu)下,通過硬件組態(tài)與軟件編程構(gòu)建集自動化、智能化、信息化于一體的先進控制系統(tǒng)以滿足污水回用處理控制系統(tǒng)的控制需求。污水回用處理過程中的pH值是系統(tǒng)的一個重要運行參數(shù),不僅受溫度、季節(jié)、流量和進水pH值等因素的影響,而且pH值的中和反應還具有極度非線性的特性,使用常規(guī)的控制方法難以取得令人滿意的控制精度。針對pH值的控制,本文提出基于BP神經(jīng)網(wǎng)絡辨識的多神經(jīng)元自整定PID智能控制算法對污水回用系統(tǒng)中需實時監(jiān)測的pH值進行控制,通過Matlab進行仿真,該算法使用訓練好的BP神經(jīng)網(wǎng)絡完成參數(shù)的在線調(diào)整,不僅具有BP神經(jīng)網(wǎng)絡的辨識和自適應能力,又具有常規(guī)PID的控制優(yōu)勢,使系統(tǒng)pH值的控制具有良好的動、靜態(tài)性能。該項目通過現(xiàn)場調(diào)試,已投入正常運行,運行效果良好,系統(tǒng)穩(wěn)定、自動化、信息化程度高、出水水質(zhì)良好,達到了預期的控制目標。該項目的設計與調(diào)試運行為其他污水回用控制系統(tǒng)的設計與運行提供了一定的經(jīng)驗,可廣泛應用于目前各種污水回用處理控制系統(tǒng)。
[Abstract]:Sewage reuse is an important matter related to the national economy and people's livelihood, and also an important measure to realize the sustainable development strategy of our country. In order to reduce the cost of wastewater reuse and improve the quality of effluent, advanced wastewater reuse control technology must be adopted. The treatment scale of sewage reuse and the automation and intelligence of the control system are improved. The equipment distribution of the large and medium-sized sewage reuse system is scattered and the control difficulty is high. At present, the actual control system has some defects. Moreover, the wastewater reuse treatment is a complex system with pure lag, nonlinear and dynamic instability, it is difficult to establish accurate mathematical model, thus affecting the control effect of the whole system. In this paper, the design of sewage reuse control system and the intelligent control algorithm are studied. In this paper, the process and system requirements of wastewater reuse treatment are analyzed in view of the actual sewage reuse project. According to the control system scheme, the Rockwell PLC distributed control system based on NetLinx network architecture is designed. The PLC hardware and software of the control layer and the upper computer hardware and monitor interface of the information layer are designed, and the monitoring interface of the upper computer is designed by using the Intouch configuration software. Data exchange and process control are realized through NetLinx network, lower computer, field detection instrument and equipment. Under the NetLinx network architecture composed of Ethernet Ethernet Ethernet / IP net (Control net) and device Network (DeviceNet), set automation and intelligence are constructed by hardware configuration and software programming. The advanced control system is integrated with information to meet the control requirements of the wastewater reuse control system. The pH value in the process of wastewater reuse treatment is an important operating parameter of the system, which is not only subject to temperature and season, The influence of the factors such as flow rate and influent pH value, and the neutralization reaction of pH value are extremely nonlinear, so it is difficult to obtain satisfactory control precision by using conventional control methods. In this paper, a multi-neuron self-tuning PID intelligent control algorithm based on BP neural network identification is proposed to control the pH value of wastewater reuse system, which needs to be monitored in real time. The simulation is carried out by Matlab. The algorithm uses trained BP neural network to adjust parameters online, which not only has the ability of BP neural network identification and adaptation, but also has the control advantage of conventional PID, which makes the control of system pH have good movement. Static performance. The project has been put into normal operation through field debugging, running effect is good, the system is stable, automation, information level is high, the effluent quality is good, The design and commissioning of the project provide some experience for the design and operation of other sewage reuse control systems and can be widely used in various sewage reuse control systems.
【學位授予單位】：沈陽工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP273

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相關期刊論文 前10條

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本文編號：1520392