本文關(guān)鍵詞： 冷連軋機(jī) 規(guī)程優(yōu)化 量子進(jìn)化算法 多目標(biāo)優(yōu)化 支持向量機(jī)　出處：《燕山大學(xué)》2014年博士論文　論文類型：學(xué)位論文

【摘要】：冷軋帶鋼生產(chǎn)在我國國民經(jīng)濟(jì)中占有重要的地位。目前，雖然我國鋼鐵產(chǎn)量巨大，但是整體生產(chǎn)水平偏低，尤其是冷軋板帶生產(chǎn)的核心技術(shù)多掌握在國外公司手中。因此，，建造擁有自主知識產(chǎn)權(quán)的現(xiàn)代化冷連軋生產(chǎn)線，生產(chǎn)出高質(zhì)量的冷軋帶鋼，增強(qiáng)產(chǎn)品在市場上的競爭力是國內(nèi)科研人員的共同目標(biāo)。軋制規(guī)程設(shè)定是冷連軋工藝的核心技術(shù)之一，建立更合理的軋制規(guī)程是提高冷軋帶鋼質(zhì)量的有效途徑之一，在這方面我國與國際先進(jìn)水平尚有一定的差距，必須進(jìn)行更全面、更深入的研究，才能趕超國際先進(jìn)水平。本文結(jié)合某廠1450mm全連續(xù)五機(jī)架冷連軋機(jī)工藝優(yōu)化計算機(jī)系統(tǒng)研發(fā)的工程實(shí)踐，對冷連軋機(jī)工藝優(yōu)化計算機(jī)系統(tǒng)進(jìn)行了基于量子進(jìn)化算法和支持向量機(jī)的軋制規(guī)程優(yōu)化研究與實(shí)踐。 軋制工藝數(shù)學(xué)模型是進(jìn)行軋制規(guī)程優(yōu)化的基礎(chǔ)，針對不同的工藝優(yōu)化目標(biāo)可以建立不同的目標(biāo)函數(shù)及約束條件。本文對量子旋轉(zhuǎn)門角度更新策略進(jìn)行了研究，通過改進(jìn)量子旋轉(zhuǎn)門角度更新查詢表提升了量子進(jìn)化算法的收斂性能；以能耗最低為目標(biāo)，應(yīng)用改進(jìn)的量子進(jìn)化算法對軋制規(guī)程進(jìn)行優(yōu)化，使軋制總功率降低3%以上。將其應(yīng)用于某廠五機(jī)架冷連軋機(jī)組的規(guī)程計算中，自2011年3月投產(chǎn)以來，節(jié)約了大量的能源，創(chuàng)造了巨大的經(jīng)濟(jì)效益。 在傳統(tǒng)量子進(jìn)化算法中，應(yīng)用查詢表對量子旋轉(zhuǎn)門角度進(jìn)行更新時必須針對具體問題具體設(shè)計查詢表，通用性較差。為了克服這一缺點(diǎn)，引入粒子群算法和微分進(jìn)化算法，通過其在角度空間進(jìn)行啟發(fā)式搜索的方式進(jìn)行量子旋轉(zhuǎn)門角度更新，提出了兩種混合量子進(jìn)化算法。通過標(biāo)準(zhǔn)函數(shù)測試表明，混合量子進(jìn)化算法增強(qiáng)了量子進(jìn)化算法的全局收斂性能，提高了通用性，將其應(yīng)用于軋制規(guī)程優(yōu)化，結(jié)果表明，應(yīng)用該方法達(dá)到了均衡軋制力和軋制功率的目的，在工程應(yīng)用中具有很高的實(shí)用價值。 在軋制規(guī)程優(yōu)化過程中，處理多個優(yōu)化目標(biāo)的常用辦法是將多個目標(biāo)加權(quán)聚合為單個目標(biāo)進(jìn)行優(yōu)化。為了避免權(quán)重賦值的人為因素，對應(yīng)用多目標(biāo)進(jìn)化算法實(shí)現(xiàn)軋制規(guī)程優(yōu)化進(jìn)行了探討。為了提高算法的執(zhí)行效率，將量子計算以及混沌與多目標(biāo)進(jìn)化算法融合，提出了量子混沌多目標(biāo)進(jìn)化算法。標(biāo)準(zhǔn)函數(shù)測試表明，量子混沌多目標(biāo)進(jìn)化算法的收斂速度比NSGA-II高將近30%，最后將之應(yīng)用于軋制規(guī)程優(yōu)化，獲得了合理的結(jié)果，為其在冷連軋機(jī)軋制規(guī)程優(yōu)化中的應(yīng)用提供了理論依據(jù)，多目標(biāo)進(jìn)化算法是規(guī)程優(yōu)化的未來發(fā)展方向。 現(xiàn)代化軋機(jī)中安裝了數(shù)以百計的高精度傳感器，工藝優(yōu)化計算機(jī)系統(tǒng)的數(shù)據(jù)庫中存儲了海量的設(shè)備狀態(tài)數(shù)據(jù)和軋制過程數(shù)據(jù)。對數(shù)據(jù)挖掘工具——支持向量機(jī)在軋制力預(yù)報中的應(yīng)用進(jìn)行了研究和實(shí)踐。首先整理數(shù)據(jù)庫中的海量數(shù)據(jù)，建立支持向量機(jī)進(jìn)行軋制力偏差預(yù)報的樣本庫。然后利用樣本庫中樣本對支持向量機(jī)進(jìn)行訓(xùn)練并預(yù)報軋制力偏差。最后據(jù)此對模型計算所得的軋制力設(shè)定值進(jìn)行修正,冷連軋機(jī)的軋制力預(yù)報精度提高到5%以內(nèi)，是軋制規(guī)程優(yōu)化的有效手段。 在某廠全連續(xù)五機(jī)架冷連軋機(jī)工藝優(yōu)化計算機(jī)系統(tǒng)開發(fā)實(shí)踐中，基于WinCC組態(tài)軟件和Microsoft SQL Server2005數(shù)據(jù)庫平臺，運(yùn)用WinCC組件和ANSI-C和VBScript腳本語言，完成了軋制規(guī)程計算與優(yōu)化程序，開發(fā)了完善的人機(jī)界面監(jiān)視系統(tǒng)，實(shí)現(xiàn)了軋制過程數(shù)據(jù)和設(shè)備狀態(tài)數(shù)據(jù)的歸檔、查詢等功能。
[Abstract]:Cold strip production occupies an important position in our national economy. At present, although China's steel production is huge, but the overall low level of production, especially the core technology of cold strip production more in the hands of foreign companies. Therefore, modern production line of cold rolling mill built with independent intellectual property rights, high production of cold rolled steel strip quality, enhance the competitiveness of products in the market is the common goal of domestic researchers. Rolling rules set is one of the core technologies in the cold rolling process, the establishment of a more reasonable rolling schedule is one of the effective ways to improve the quantity of cold rolled steel strip, in this aspect in our country and the international advanced level there is a certain gap, must be more overall, more in-depth research, in order to catch up with the international advanced level. This combination of a plant 1450mm continuous five stand cold rolling mill process optimization computer system development project In practice, the optimization research and practice of rolling regulation based on quantum evolutionary algorithm and support vector machine are carried out in the computer system for the process optimization of cold rolling mill.
The mathematical model of rolling process is based on the rolling schedule optimization, process optimization for different targets can create different objective functions and constraint conditions. The quantum rotation gate angle update strategy is studied, through the improvement of quantum rotation gate angle update query table to enhance the convergence performance of quantum evolutionary algorithm; the minimum energy consumption as objective. The application of improved quantum evolutionary algorithm to optimize the rolling schedule, the total output of the rolling lower than 3%. Calculation procedures applied to a factory five stand cold rolling mill in the production since March 2011, save a lot of energy, to create a huge economic benefits.
In the traditional quantum evolutionary algorithm, application query table is updated on the quantum rotation gate angle must be for specific issues of design inquiry form, universality is poor. In order to overcome this shortcoming, the introduction of particle swarm algorithm and differential evolution algorithm, through the heuristic search in angle space update quantum rotation gate angle, put forward two kinds of hybrid quantum evolutionary algorithm. Through the standard function test shows that the hybrid quantum evolutionary algorithm to enhance the global convergence performance of quantum evolutionary algorithm, improve the versatility, applied to rolling planning optimization, the results show that the application of the method can achieve the balanced rolling force and rolling power, has very high practical the value in engineering application.
In the rolling schedule optimization process, commonly used approach to multi-objective multi-objective weighted aggregation is optimized for a single target. In order to avoid the human factor weight assignment, to achieve the rolling schedule optimization using multi-objective evolutionary algorithms are discussed. In order to improve the efficiency of the algorithm, the quantum computing and chaos and more the algorithm fusion, proposed quantum chaos multi-objective evolutionary algorithm. The standard function test shows that the convergence speed of the quantum chaos multi-objective evolutionary algorithm is higher than the NSGA-II of nearly 30%, finally applied to rolling schedule optimization, and obtained reasonable results, which provides a theoretical basis in the cold rolling mill in the rolling schedule optimization application the multi-objective evolutionary algorithm is the future development direction for optimization.
The high precision sensor installed hundreds of modern rolling mills, process optimization computer system database is stored in the equipment condition data of rolling process and data. The data mining tool -- Application of support vector machine to predict the rolling force of research and practice. At first mass data in the database, create a sample database support vector machine for rolling force deviation prediction. Then use the sample sample of training and prediction of rolling force deviation of support vector machine. Finally, based on the rolling force model calculated set value is corrected, cold rolling mill rolling force prediction accuracy increased to less than 5%, is an effective means of rolling schedule optimization.
In a factory for five stand cold rolling mill process optimization practice of computer system development, WinCC software and Microsoft SQL based on Server2005 database platform, using WinCC components and ANSI-C and VBScript scripting language, completed the rolling schedule calculation and optimization program, developed the man-machine interface monitoring system, realize the rolling process and data archiving the equipment condition data, query and other functions.

【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TP18;TG335

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本文編號：1541982