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水泥回轉(zhuǎn)窯溫度控制研究

發(fā)布時間:2018-06-02 00:32

  本文選題:回轉(zhuǎn)窯溫度 + 優(yōu)化設定; 參考:《濟南大學》2017年碩士論文


【摘要】:回轉(zhuǎn)窯煅燒過程是水泥熟料生產(chǎn)的關鍵環(huán)節(jié),其通過調(diào)節(jié)窯頭噴煤量來穩(wěn)定回轉(zhuǎn)窯溫度,從而得到質(zhì)量合格的水泥熟料。其中,窯頭用煤量約占整個水泥熟料生產(chǎn)煤耗量的40%。但是由于回轉(zhuǎn)窯大滯后、非線性、多變量耦合等復雜特性,使得國內(nèi)水泥回轉(zhuǎn)窯控制大多還采用人工控制方式,人工控制水平參差不齊,很難保證較好的控制效果,且能耗較高。國外的一些優(yōu)化控制軟件雖然有較好的控制效果,但是難以適用國內(nèi)水泥廠原材料波動大、測點少等現(xiàn)狀。因此,基于國內(nèi)回轉(zhuǎn)窯控制現(xiàn)狀,研究采用先進控制策略實現(xiàn)回轉(zhuǎn)窯煅燒過程的優(yōu)化控制,穩(wěn)定回轉(zhuǎn)窯煅燒溫度,進而降低生產(chǎn)能耗,提高水泥質(zhì)量是一個亟待解決的重要課題。本課題以山東省某水泥廠5000t/d水泥熟料生產(chǎn)線為研究背景,在了解生產(chǎn)工藝的基礎上,結合操作專家經(jīng)驗,采用多模態(tài)智能控制方法,提出由回轉(zhuǎn)窯溫度優(yōu)化設定系統(tǒng)和自動控制系統(tǒng)組成的水泥回轉(zhuǎn)窯溫度優(yōu)化控制系統(tǒng)總體解決方案;然后,采用面向?qū)ο缶幊滩呗?研發(fā)了水泥回轉(zhuǎn)窯溫度優(yōu)化控制系統(tǒng)軟件并進行了現(xiàn)場應用。具體研究內(nèi)容如下:(1)回轉(zhuǎn)窯溫度優(yōu)化設定系統(tǒng)研究;谒酂上到y(tǒng)工藝,結合操作專家經(jīng)驗,采用LS-SVM建立回轉(zhuǎn)窯溫度預設定模型;然后分析總結不同窯況,結合出窯熟料中f-CaO含量,構建溫度預設定值修正專家規(guī)則,修正回轉(zhuǎn)窯溫度預設定值,得出當前窯況下的回轉(zhuǎn)窯溫度最優(yōu)設定值,作為回轉(zhuǎn)窯溫度自動控制系統(tǒng)的控制目標值。(2)回轉(zhuǎn)窯溫度自動控制系統(tǒng)研究。針對回轉(zhuǎn)窯大滯后、非線性、多變量耦合的特性,提出將Bang-Bang控制、專家規(guī)則控制、前饋控制與模糊-PID復合控制相結合的多模態(tài)智能控制方案。在工況穩(wěn)定情況下,采用模糊-PID復合控制實現(xiàn)回轉(zhuǎn)窯溫度穩(wěn)定控制,當工況發(fā)生變化時,根據(jù)多模態(tài)智能切換規(guī)則,切換相應模態(tài)下的控制器對模糊-PID復合控制進行校正,將回轉(zhuǎn)窯溫度穩(wěn)定在最優(yōu)設定值;然后選取回轉(zhuǎn)窯典型工況,進行了仿真驗證。(3)回轉(zhuǎn)窯溫度優(yōu)化控制系統(tǒng)軟件研發(fā)。根據(jù)回轉(zhuǎn)窯溫度優(yōu)化控制系統(tǒng)總體方案,采用面向?qū)ο缶幊滩呗?將整體系統(tǒng)分為數(shù)據(jù)采集子系統(tǒng),數(shù)據(jù)庫子系統(tǒng),優(yōu)化控制子系統(tǒng),并分別進行研發(fā)。通過ADO實現(xiàn)優(yōu)化控制子系統(tǒng)與數(shù)據(jù)庫子系統(tǒng)的數(shù)據(jù)互聯(lián);通過OPC數(shù)據(jù)采集子系統(tǒng)實現(xiàn)數(shù)據(jù)庫子系統(tǒng)與現(xiàn)場DCS系統(tǒng)數(shù)據(jù)互聯(lián)。最后,將回轉(zhuǎn)窯溫度優(yōu)化控制系統(tǒng)應用于生產(chǎn)現(xiàn)場。結果表明,回轉(zhuǎn)窯溫度更加穩(wěn)定,煤耗更低。因此本課題的研究對水泥熟料的高質(zhì)低耗生產(chǎn)的意義重大。
[Abstract]:The calcination process of rotary kiln is the key link of cement clinker production. It can stabilize the temperature of rotary kiln by adjusting the quantity of coal injection at the kiln head and get the cement clinker of qualified quality. The coal consumption of kiln head accounts for 40 percent of the total coal consumption of cement clinker production. However, due to the complex characteristics of rotary kiln, such as large lag, nonlinear and multi-variable coupling, the cement rotary kiln control in China is mostly controlled by manual control, and the level of manual control is uneven, so it is difficult to ensure better control effect. And the energy consumption is high. Although some foreign optimization control software has good control effect, it is difficult to adapt to the domestic cement factory raw material fluctuation, less measuring points and so on. Therefore, based on the current situation of rotary kiln control in China, the advanced control strategy is adopted to realize the optimal control of the rotary kiln calcination process, to stabilize the rotary kiln calcination temperature, and then to reduce the production energy consumption. Improving cement quality is an important task to be solved. Based on the research background of 5000t/d cement clinker production line in a cement factory in Shandong Province, this paper adopts multi-modal intelligent control method based on the understanding of production technology and experience of operation experts. The overall solution of cement rotary kiln temperature optimal control system composed of rotary kiln temperature optimal setting system and automatic control system is put forward, and then the object-oriented programming strategy is adopted. The optimum temperature control system software of cement rotary kiln is developed and applied in the field. The specific research contents are as follows: 1) the system of optimizing the temperature of rotary kiln. Based on the process of cement sintering system and the experience of operation experts, the temperature pre-setting model of rotary kiln is established by using LS-SVM, and then different kiln conditions are analyzed and summarized, and the expert rules for modifying temperature pre-setting value are constructed by combining f-CaO content in kiln clinker. The temperature preset value of rotary kiln is revised and the optimal setting value of rotary kiln temperature under current kiln condition is obtained, which is used as the control target value of automatic temperature control system of rotary kiln. 2) the research on automatic temperature control system of rotary kiln. Aiming at the characteristics of large lag, nonlinear and multivariable coupling of rotary kiln, a multi-modal intelligent control scheme combining Bang-Bang control, expert rule control, feedforward control and fuzzy-PID compound control is proposed. Under the condition of stable working condition, the fuzzy pid compound control is used to realize the temperature stability control of rotary kiln. When the working condition changes, the fuzzy pid compound control is corrected by switching the controller under the corresponding mode according to the multi-mode intelligent switching rule. The temperature of rotary kiln is stabilized at the optimal setting value, and then the software of temperature optimization control system of rotary kiln is developed by selecting typical operating conditions of rotary kiln. According to the overall scheme of rotary kiln temperature optimal control system, the whole system is divided into data acquisition subsystem, database subsystem and optimal control subsystem by using object-oriented programming strategy. The data interconnection between the optimization control subsystem and the database subsystem is realized by ADO, and the data interconnection between the database subsystem and the field DCS system is realized by the OPC data acquisition subsystem. Finally, the rotary kiln temperature optimization control system is applied to the production site. The results show that the temperature of rotary kiln is more stable and the coal consumption is lower. Therefore, the research of this topic is of great significance to the production of cement clinker with high quality and low consumption.
【學位授予單位】:濟南大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TQ172.622;TP273

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