本文關(guān)鍵詞： 數(shù)據(jù)校正 穩(wěn)態(tài)辨識(shí) 魯棒性 F-檢驗(yàn)法　出處：《北京化工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著社會(huì)的不斷發(fā)展和進(jìn)步,化工產(chǎn)品在人們的日常生活中扮演著越來(lái)越重要的作用。對(duì)于逐漸成為“世界工廠”的我國(guó)而言,化工行業(yè)的地位也越發(fā)變的無(wú)可比擬,因此,如何對(duì)化工生產(chǎn)過(guò)程實(shí)施操作優(yōu)化以在不增加能耗和減少污染的前提下提高產(chǎn)率,是十分值得探究的課題。高精確性、高可信度的穩(wěn)態(tài)數(shù)據(jù)對(duì)于實(shí)施操作優(yōu)化有著決定性的影響。如果實(shí)施操作優(yōu)化所依據(jù)的數(shù)據(jù)不具有精確性和可信度,那么操作優(yōu)化可能會(huì)失敗,甚至對(duì)整個(gè)化工生產(chǎn)過(guò)程造成不可逆轉(zhuǎn)的傷害。數(shù)據(jù)校正技術(shù)與穩(wěn)態(tài)檢驗(yàn)技術(shù)的意義就在于能夠?yàn)椴僮鲀?yōu)化提供高精確性、高可信度的穩(wěn)態(tài)數(shù)據(jù)。論文首先討論了數(shù)據(jù)校正技術(shù)的基本理論,重點(diǎn)對(duì)數(shù)據(jù)校正技術(shù)中的重點(diǎn)和難點(diǎn)過(guò)失誤差處理部分做了較為詳致的研究�；隰敯艄烙�(jì)的數(shù)據(jù)校正技術(shù)由于能夠同步完成對(duì)兩類誤差的處理,論文中也做了重點(diǎn)的回顧,并根據(jù)魯棒估計(jì)理論的基本原理,提出了兩種具有魯棒性的目標(biāo)函數(shù),通過(guò)實(shí)例,論證了兩種目標(biāo)函數(shù)在數(shù)據(jù)校正中的優(yōu)效性。論文對(duì)目前較常用的兩種基于濾波思想的穩(wěn)態(tài)檢驗(yàn)技術(shù)做了細(xì)致的回顧和研究,在對(duì)經(jīng)典F-檢驗(yàn)法的學(xué)習(xí)過(guò)程中,發(fā)現(xiàn)并指出了其所存在的兩個(gè)基本問(wèn)題,并以此為切入點(diǎn)提出了一種改進(jìn)的F-檢驗(yàn)法,給出了評(píng)估穩(wěn)態(tài)檢驗(yàn)效率的三種指標(biāo),通過(guò)仿真實(shí)例論證了改進(jìn)的F-檢驗(yàn)法的效率。CSTR由于其自身具有諸多優(yōu)點(diǎn),被廣泛的應(yīng)用在化工行業(yè)中,本篇論文中也以此為對(duì)象模型對(duì)研究成果進(jìn)行了檢驗(yàn),通過(guò)將數(shù)據(jù)校正技術(shù)與穩(wěn)態(tài)檢驗(yàn)技術(shù)相結(jié)合,提取了具有高精確性、高可信度的穩(wěn)態(tài)數(shù)據(jù)。這就為后續(xù)的系統(tǒng)建模、過(guò)程優(yōu)化、參數(shù)估計(jì)等工作打下了扎實(shí)的基礎(chǔ)。
[Abstract]:With the continuous development and progress of society, chemical products are playing an increasingly important role in people's daily life. For our country, which has gradually become the "world factory", the status of chemical industry has become more and more unparalleled, so, How to optimize the operation of chemical production process in order to increase production rate without increasing energy consumption and reducing pollution is a topic worth exploring. Reliable steady-state data have a decisive effect on the implementation of operational optimization. If the data on which the optimization is based is not accurate and reliable, the optimization may fail. The significance of data correction technology and steady-state inspection technology is that it can provide high accuracy for operation optimization. The paper first discusses the basic theory of data correction technology. The key and difficult fault error processing part of the data correction technology is studied in detail. Because the data correction technology based on robust estimation can process the two kinds of errors synchronously, the paper also makes a review of the key points. According to the basic principle of robust estimation theory, two objective functions with robustness are proposed. In this paper, two kinds of steady-state test techniques based on filtering thought are reviewed and studied in detail. In the course of studying the classical F- test method, the two objective functions are proved to be superior and effective in data correction. Two basic problems are found and pointed out, and an improved F- test method is proposed, and three indexes to evaluate the efficiency of steady-state test are given. The efficiency of the improved F- test method. CSTR is widely used in the chemical industry because of its many advantages. This paper also takes this as the object model to test the research results. The steady-state data with high accuracy and reliability are extracted by combining the data correction technique with the steady-state test technology, which lays a solid foundation for the subsequent work of system modeling, process optimization and parameter estimation.
【學(xué)位授予單位】：北京化工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TQ015.9

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本文編號(hào)：1540254