本文選題：控制回路 + 氣動(dòng)調(diào)節(jié)閥　； 參考：《江南大學(xué)》2017年碩士論文

【摘要】：在流程工業(yè)中,氣動(dòng)調(diào)節(jié)閥是使用最廣泛的一種執(zhí)行器設(shè)備,其可靠性和安全性直接關(guān)系著控制系統(tǒng)的性能表現(xiàn)。由于調(diào)節(jié)閥通常安裝在高溫高壓等較復(fù)雜的環(huán)境中,長時(shí)間與工藝介質(zhì)直接接觸,容易受到腐蝕,從而造成閥桿和密封部件之間的摩擦力增大,導(dǎo)致了粘滯非線性現(xiàn)象的產(chǎn)生。閥門粘滯非線性的存在影響控制器和調(diào)節(jié)閥達(dá)到最佳的運(yùn)行狀態(tài),嚴(yán)重的粘滯故障還會引起控制回路發(fā)生振蕩現(xiàn)象。因此,對閥門粘滯非線性的分析研究也是控制系統(tǒng)性能監(jiān)控研究領(lǐng)域的一個(gè)重要組成部分。粘滯非線性的檢測和量化研究是工程人員進(jìn)行閥門維護(hù)以及改善控制回路性能的基礎(chǔ),有很強(qiáng)的工程應(yīng)用價(jià)值,對實(shí)現(xiàn)流程工業(yè)的“安、穩(wěn)、長、滿、優(yōu)”具有重大的意義。本文的主要研究內(nèi)容如下:1、提出了一種改進(jìn)的基于模糊聚類算法的閥門粘滯檢測方法。在粘滯檢測過程中,現(xiàn)有方法容易將具有非線性特征的外部擾動(dòng)振蕩誤判為閥門粘滯非線性引起的。本文通過深入分析與研究,提出了改進(jìn)方案,在其基礎(chǔ)上增加了四邊形凹凸性判斷環(huán)節(jié)以及定義了一個(gè)新粘滯指標(biāo),使之能夠有效的辨識閥門粘滯非線性和外部擾動(dòng)所引起的振蕩現(xiàn)象,并且對噪聲信號有一定的抗干擾能力。通過實(shí)驗(yàn)驗(yàn)證了改進(jìn)方法的有效性和準(zhǔn)確性,適用于流量控制回路或帶有智能閥的控制回路的閥門粘滯檢測。2、提出了一種新型的模糊聚類下粘滯非線性量化方法。首先分析了閥門粘滯的量化問題和基本思路,并對基于橢圓擬合法的粘滯非線性量化算法展開了討論與研究,分析了這類量化方法的有效性及其存在擬合橢圓形狀對控制器參數(shù)敏感等不足之處。然后在所提出改進(jìn)方法的基礎(chǔ)上進(jìn)一步考慮了對粘滯大小的量化,將其中兩個(gè)聚類中心的有效距離作為粘滯的估計(jì)量。利用實(shí)際流程工業(yè)數(shù)據(jù)對兩種量化方法進(jìn)行了比較測試,驗(yàn)證了所提方法具有良好的效果以及推廣使用的可能性。3、從實(shí)際應(yīng)用角度出發(fā),結(jié)合現(xiàn)有實(shí)驗(yàn)條件,設(shè)計(jì)和開發(fā)了閥門粘滯檢測與量化系統(tǒng)軟件,將本文所提方法推廣至實(shí)際應(yīng)用中去,主要實(shí)現(xiàn)理論研究的可視化與操作。介紹了軟件的設(shè)計(jì)目標(biāo)與設(shè)計(jì)說明,包括歡迎界面、數(shù)據(jù)導(dǎo)入、圖像繪制、檢測結(jié)果參數(shù)顯示、工具箱等各模塊的功能,并對軟件的運(yùn)行效果進(jìn)行了操作展示。最后,總結(jié)了全文的研究工作,并對閥門粘滯非線性的檢測與量化問題作了進(jìn)一步的探討與展望。
[Abstract]:Pneumatic control valve is the most widely used actuator in the process industry. Its reliability and safety are directly related to the performance of the control system. Because the regulating valve is usually installed in the complicated environment such as high temperature and high pressure, it is easy to be corroded because of the contact with the process medium for a long time, which results in the increase of friction between the valve stem and the sealing parts, which leads to the phenomenon of viscous nonlinearity. The nonlinearity of valve viscosity affects the optimal operation state of the controller and control valve, and the serious viscous fault will cause the oscillation of the control circuit. Therefore, the nonlinear analysis of valve viscosity is also an important part in the field of control system performance monitoring. The detection and quantification of viscous nonlinearity is the basis for engineering personnel to maintain valves and improve the performance of control circuits. It has strong engineering application value and has great significance for realizing "safety, stability, length, fullness and excellence" in process industry. The main contents of this paper are as follows: 1. An improved valve viscosity detection method based on fuzzy clustering algorithm is proposed. In the process of viscosity detection, the existing methods can easily misjudge the external disturbance oscillation with nonlinear characteristics as that caused by the valve viscosity nonlinearity. In this paper, through in-depth analysis and research, an improved scheme is put forward, based on which a quadrilateral concave convexity judgment link is added and a new viscosity index is defined. It can effectively identify the oscillation phenomenon caused by the viscous nonlinearity and external disturbance of the valve, and has certain anti-interference ability to the noise signal. The effectiveness and accuracy of the improved method are verified by experiments. It is suitable for the viscosity detection of valves in flow control loop or control loop with intelligent valve. A new nonlinear quantitative method for viscosity under fuzzy clustering is proposed. Firstly, the problem of valve viscosity quantization is analyzed, and the nonlinear quantization algorithm based on elliptic fitting method is discussed. The effectiveness of this method and its shortcomings such as the sensitivity of fitting ellipse shape to controller parameters are analyzed. Then the quantization of the viscosity is considered on the basis of the improved method, and the effective distance between the two clustering centers is taken as the estimator of the viscosity. This paper compares and tests the two quantitative methods by using the actual process industry data, and verifies that the proposed method has good effect and the possibility of popularizing and using. From the point of view of practical application, combined with the existing experimental conditions, The software of valve viscosity detection and quantification system is designed and developed. The method proposed in this paper is extended to practical application, and the visualization and operation of theoretical research are mainly realized. This paper introduces the design objectives and design instructions of the software, including the functions of various modules, such as welcome interface, data import, image drawing, parameter display of inspection results, toolbox and so on, and the operation effect of the software is demonstrated. Finally, the research work of this paper is summarized, and the detection and quantification of valve stickiness nonlinearity are discussed and prospected.
【學(xué)位授予單位】：江南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TH138.52

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