基于色墨控制模型的印刷色彩质量控制研究
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摘要
随着社会经济的发展,人们的物质需求越来越高,对印刷品的色彩质量要求也越来越高,这使得印刷企业需要更加注重对印刷品色彩质量的控制。目前常用的印刷色彩质量控制方法一是基于人工调整,二是基于实验数据,由于受人为因素和实验条件的限制,有时不能达到期望控制效果,其根本原因是缺少理论依据,因此对色墨控制理论模型的研究就尤为重要;另一方面,由于印刷过程受很多工艺条件的影响,实际模型与控制模型发生偏差,因此需要找到一个可以自适应变化且综合诸多因素考虑的有效控制方法,以实现对印刷色彩质量的控制。
本论文就以上两个问题,运用数学建模方法和人工智能技术,对印刷色彩质量的控制技术进行了研究。
首先,分析印刷机的输墨过程,确定墨键开度—实地密度的理论模型。通过分析输墨系统结构,利用图论知识确定油墨的传递路线,建立从墨键开度到墨层厚度的模型;通过实验,确定墨层厚度与实地密度的关系模型;最终确立墨键开度—实地密度的理论模型。
其次,基于自适应模糊控制,对印刷色彩质量控制问题进行了研究。首先对印刷色彩质量的影响因素进行分析,并提出控制方案;然后基于自适应模糊控制,利用理论模型设计控制规则,并给出对控制规则进行调整的方案,再利用Matlab的Simulink模块对控制算法进行仿真,验证其控制效果;最后分析串墨辊的串动作用对油墨传递的影响,对模糊控制器输出的墨键开度进行调整。
最后,基于SQL Server2000设计数据库,并以Visual C++6.0为平台,利用MFC开发印刷色墨控制曲线建模模块,实现对印刷机输墨系统和工艺信息的数据管理,绘制输墨系统结构图、油墨传递路线图和墨键开度—实地密度曲线,并设计墨键开度控制模块,实现对印刷色彩质量的控制。
With the development of socio-economic and the increasing of people's material needs, the color of the print quality requirements have become more sophisticated, which makes printing companies need to pay more attention to print color quality control. The common method of printing quality control is based on maunual adjustment or the experimental data, and the control effect is limited by human factors and experimental conditions, so it can not achieve the desired effect and the fundamental reason is the lack of theoretical basis. So the research on the theory model of color and ink is particularly important. On the other hand, the printing process is affected by many conditions, and it can not be avoided that the deviation between the actual model and the theoretical model, so we need to find an effective control method to achieve the print color quality control that can adapt to the changes and take the integeration of many factors into account.
In this thesis, the mathematical modeling method and artificial intelligence technology are applied to solve the question mentioned above, and the printing color quality control techniques are studied.
First of all, the ink transfer process of the printing press is analyzed to determine the model of ink key opening - the field density. By analyzing the structure of inking system, the ink transfer route is determined using the graph theory, and the model is bulid from ink key opening the establishment to the ink film thickness; through the experiments, the relationship model between the ink thickness and the field density; finally the model of ink key opening - field density is to be established.
Secondly, based on adaptive fuzzy control, the quality control of printing color has been studied. First of all, the factors affecting print quality should be analyzed, and proposes a control scheme. Then, based on adaptive fuzzy control, the control rules should be designed using the theoretical model and the the adjustment program of control rules is given according to the actual situation. Then, the control algorithm is simulated and validated their results using Matlab's Simulink module. Finally, the analysis of impact of the inkvibrator’s string action to ink transfer should be done, and the ink key opening that is output of fuzzy controller should be adjusted.
Finally, the database based on SQL Server2000 and the software of printing color ink control curve modeling module using Visual C++6.0 as the platform and developed by MFC should be designed, and it is to achieve the data management of printing press inking system and process informations and the drawing of inking system structure, ink transfer route and the ink transfer ink key opening - field density curve. Then the control module of ink key opening should be designed, and achieve the printing quality control.
本论文就以上两个问题,运用数学建模方法和人工智能技术,对印刷色彩质量的控制技术进行了研究。
首先,分析印刷机的输墨过程,确定墨键开度—实地密度的理论模型。通过分析输墨系统结构,利用图论知识确定油墨的传递路线,建立从墨键开度到墨层厚度的模型;通过实验,确定墨层厚度与实地密度的关系模型;最终确立墨键开度—实地密度的理论模型。
其次,基于自适应模糊控制,对印刷色彩质量控制问题进行了研究。首先对印刷色彩质量的影响因素进行分析,并提出控制方案;然后基于自适应模糊控制,利用理论模型设计控制规则,并给出对控制规则进行调整的方案,再利用Matlab的Simulink模块对控制算法进行仿真,验证其控制效果;最后分析串墨辊的串动作用对油墨传递的影响,对模糊控制器输出的墨键开度进行调整。
最后,基于SQL Server2000设计数据库,并以Visual C++6.0为平台,利用MFC开发印刷色墨控制曲线建模模块,实现对印刷机输墨系统和工艺信息的数据管理,绘制输墨系统结构图、油墨传递路线图和墨键开度—实地密度曲线,并设计墨键开度控制模块,实现对印刷色彩质量的控制。
With the development of socio-economic and the increasing of people's material needs, the color of the print quality requirements have become more sophisticated, which makes printing companies need to pay more attention to print color quality control. The common method of printing quality control is based on maunual adjustment or the experimental data, and the control effect is limited by human factors and experimental conditions, so it can not achieve the desired effect and the fundamental reason is the lack of theoretical basis. So the research on the theory model of color and ink is particularly important. On the other hand, the printing process is affected by many conditions, and it can not be avoided that the deviation between the actual model and the theoretical model, so we need to find an effective control method to achieve the print color quality control that can adapt to the changes and take the integeration of many factors into account.
In this thesis, the mathematical modeling method and artificial intelligence technology are applied to solve the question mentioned above, and the printing color quality control techniques are studied.
First of all, the ink transfer process of the printing press is analyzed to determine the model of ink key opening - the field density. By analyzing the structure of inking system, the ink transfer route is determined using the graph theory, and the model is bulid from ink key opening the establishment to the ink film thickness; through the experiments, the relationship model between the ink thickness and the field density; finally the model of ink key opening - field density is to be established.
Secondly, based on adaptive fuzzy control, the quality control of printing color has been studied. First of all, the factors affecting print quality should be analyzed, and proposes a control scheme. Then, based on adaptive fuzzy control, the control rules should be designed using the theoretical model and the the adjustment program of control rules is given according to the actual situation. Then, the control algorithm is simulated and validated their results using Matlab's Simulink module. Finally, the analysis of impact of the inkvibrator’s string action to ink transfer should be done, and the ink key opening that is output of fuzzy controller should be adjusted.
Finally, the database based on SQL Server2000 and the software of printing color ink control curve modeling module using Visual C++6.0 as the platform and developed by MFC should be designed, and it is to achieve the data management of printing press inking system and process informations and the drawing of inking system structure, ink transfer route and the ink transfer ink key opening - field density curve. Then the control module of ink key opening should be designed, and achieve the printing quality control.
引文
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2 CHINA PRINT 2009北京国际印刷技术展览会. www.chinaprint.com.cn.
3郑元林.印刷品质量检测与控制技术[M].化学工业出版社. 2010
4全国印刷标准化技术委员会. CY/T5~99.平板印刷品质量要求与检测方法[M]. 436-441
5李永梅.胶版印刷品密度与色度检测关系的研究[J].包装工程,2007,28(1):70-88
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7牛一帆浅谈印刷图像色彩的控制与检测方法[J].商业印刷,2009:49-51
8张正修.基于色度检测的印刷质量控制[J].印刷技术,2003.12:38-39
9 Cristofer Englund, Antanas Verikas. Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper[J]. P.Perner(Ed.):ICDM 2007,LNAI 4597,pp.214-227
10常瑞,刘晓清.胶印品质量控制中的模糊技术[ J].制造业自动化,2006,28(5):75-76
11初红艳,蔡力钢等.基于Intellitrax的印刷色彩检测与控制系统[J].包装工程, 2007,28(10):94-97
12中国印钞造币总公司.印刷质量在线自动控制系统[P].中国,ZL200410073619.1,2005,3
13刘振龙.基于C++Builder的胶印机输墨系统动态仿真研究[D].西安理工大学硕士论文,2007:5-8
14章卫国,杨向忠著.模糊控制理论与应用[M].陕西:西北工业大学出版社, 2004.1-71
15张春燕.永磁同步电动机自适应模糊控制方法的研究[D].天津大学硕士论文,2008:16
16代沁伶. J2108机输墨系统的研究与参数化设计[D].西安理工大学硕士论文,2007:5-8
17黄梓成.胶印机串墨辊压力调节机构[P].中国, CN200420043565.X,2005.3
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20 Shem M. Chou and Lawrence J. Bain. Computer Simulation of Off set Printing: Effect of Image Coverage and Ink Feedrate[C].TAGA1996,New York: TAGA,1996:523-547
21胡金初,汪存燕.计算机算法[M].北京:清华大学出版社,2009
22陈虹.现代印刷机械原理与设计[M].北京:中国轻工业出版社,2007
23周明香.胶印印刷墨层厚度的技术分析和质量控制[J]包装工程,2008,29(5):66-68
24廉洁.正确地理解和掌握实地密度值[J].印刷标准化,1994,(1):10-12
25吕新广,杨林平.墨层厚度对呈色效果的影响[J].中国包装,2003,(5):63-66
26郑允,宋兵.包装印刷墨层厚度与密度的关系[J].包装工程,2004,25(3):161-163
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29李茂斌,张海燕.墨层厚度与实地密度关系数学建模[J].包装工程,2007:121
30李雪梅墨层厚度与网点面积率对印刷品呈色的影响.印刷技术,2008.60-61
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33西安理工大学.基于JDF数字化流程的油墨预置方法[P].中国,CN 101284445A,2008
34 Enrico Grosso, Andrea Lagorio. Automated quality control of printed flasks and bottles[J]. Machine Vision and Applications. 2009
35 Cristofer Englund, Antanas Verikas. Ink feed control in a web-fed offset printing press[J]. 2008:919-930
36 Yan Jun Liu. Observer-based Direct Adaptive Fuzzy Control of Uncertain Nonlinear Systems and Its Applications[J]. International Journal of Control, Automation, and Systems. 2009:681-690
37 Zhi-hong Man, X.H.Yu. An Adaptive Control Using Fuzzy Basis Function Expansions for a Class of Nonlinear System[J]. Journal of Intelligent and Robotic Systems. 1998:257-275
38 Yuniarto, M.N. and Labib, A.W. Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation[J]. 2005(43):4509-4537
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40董宁.自适应控制[M].北京理工大学出版社.2009
41滕飞.基于现场总线的多变量系统自适应模糊控制研究[D],北京化工大学,2010
42 Chen J Q, Xi Y G, Zhang Z J. A clustering algorithm for fuzzy model identification [J].Fuzzy Sets and Systerms,1998,98(3):319-329
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45张伟,张蛟龙等.基于T-S模型的自适应模糊广义预测控制[J].计算技术与自动化, 2009(28), 27(8): 298-300
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57王忠于.胶印机输墨系统的性能分析与仿真研究[D].西安理工大学. 2007
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2 CHINA PRINT 2009北京国际印刷技术展览会. www.chinaprint.com.cn.
3郑元林.印刷品质量检测与控制技术[M].化学工业出版社. 2010
4全国印刷标准化技术委员会. CY/T5~99.平板印刷品质量要求与检测方法[M]. 436-441
5李永梅.胶版印刷品密度与色度检测关系的研究[J].包装工程,2007,28(1):70-88
6孙玉秋.印刷图像色彩的控制和检测[J].广东印刷. 2001:26-28
7牛一帆浅谈印刷图像色彩的控制与检测方法[J].商业印刷,2009:49-51
8张正修.基于色度检测的印刷质量控制[J].印刷技术,2003.12:38-39
9 Cristofer Englund, Antanas Verikas. Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper[J]. P.Perner(Ed.):ICDM 2007,LNAI 4597,pp.214-227
10常瑞,刘晓清.胶印品质量控制中的模糊技术[ J].制造业自动化,2006,28(5):75-76
11初红艳,蔡力钢等.基于Intellitrax的印刷色彩检测与控制系统[J].包装工程, 2007,28(10):94-97
12中国印钞造币总公司.印刷质量在线自动控制系统[P].中国,ZL200410073619.1,2005,3
13刘振龙.基于C++Builder的胶印机输墨系统动态仿真研究[D].西安理工大学硕士论文,2007:5-8
14章卫国,杨向忠著.模糊控制理论与应用[M].陕西:西北工业大学出版社, 2004.1-71
15张春燕.永磁同步电动机自适应模糊控制方法的研究[D].天津大学硕士论文,2008:16
16代沁伶. J2108机输墨系统的研究与参数化设计[D].西安理工大学硕士论文,2007:5-8
17黄梓成.胶印机串墨辊压力调节机构[P].中国, CN200420043565.X,2005.3
18张海燕,张伟.胶印机输墨系统设计的计算机仿真研究[J].包装工程,2003,24,5,51-52
19柏子游,刘振龙,张海燕.胶印机输墨系统仿真模型研究[J].包装工程,2007,28,2,83-84
20 Shem M. Chou and Lawrence J. Bain. Computer Simulation of Off set Printing: Effect of Image Coverage and Ink Feedrate[C].TAGA1996,New York: TAGA,1996:523-547
21胡金初,汪存燕.计算机算法[M].北京:清华大学出版社,2009
22陈虹.现代印刷机械原理与设计[M].北京:中国轻工业出版社,2007
23周明香.胶印印刷墨层厚度的技术分析和质量控制[J]包装工程,2008,29(5):66-68
24廉洁.正确地理解和掌握实地密度值[J].印刷标准化,1994,(1):10-12
25吕新广,杨林平.墨层厚度对呈色效果的影响[J].中国包装,2003,(5):63-66
26郑允,宋兵.包装印刷墨层厚度与密度的关系[J].包装工程,2004,25(3):161-163
27任立娟,成刚虎.油墨量对油墨密度的影响[J].今日印刷,2004,(12):80-82
28王学美,唐万有等.墨层厚度与密度关系的研究[J].包装工程,2009,3:93-95
29李茂斌,张海燕.墨层厚度与实地密度关系数学建模[J].包装工程,2007:121
30李雪梅墨层厚度与网点面积率对印刷品呈色的影响.印刷技术,2008.60-61
31刘世昌.印刷品质量检测与控制[M].印刷工业出版社,2000
32吕博,吴云洁.基于模糊自适应PID的伺服系统控制[J].系统仿真学报, 2009,21(21):6794-6797
33西安理工大学.基于JDF数字化流程的油墨预置方法[P].中国,CN 101284445A,2008
34 Enrico Grosso, Andrea Lagorio. Automated quality control of printed flasks and bottles[J]. Machine Vision and Applications. 2009
35 Cristofer Englund, Antanas Verikas. Ink feed control in a web-fed offset printing press[J]. 2008:919-930
36 Yan Jun Liu. Observer-based Direct Adaptive Fuzzy Control of Uncertain Nonlinear Systems and Its Applications[J]. International Journal of Control, Automation, and Systems. 2009:681-690
37 Zhi-hong Man, X.H.Yu. An Adaptive Control Using Fuzzy Basis Function Expansions for a Class of Nonlinear System[J]. Journal of Intelligent and Robotic Systems. 1998:257-275
38 Yuniarto, M.N. and Labib, A.W. Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation[J]. 2005(43):4509-4537
39 N.AI-Holou, T. Lahdhiri, D.S.Joo. Sliding model neural network inference fuzzy-logic control for active suspension systems[J]. IEEE Trans. Fuzzy System. 2002:234-246
40董宁.自适应控制[M].北京理工大学出版社.2009
41滕飞.基于现场总线的多变量系统自适应模糊控制研究[D],北京化工大学,2010
42 Chen J Q, Xi Y G, Zhang Z J. A clustering algorithm for fuzzy model identification [J].Fuzzy Sets and Systerms,1998,98(3):319-329
43吴忠强,许世范,岳东.非线性系统的T—S模糊建模与控制,系统仿真学报[J],vol.14 No.2 2002:253-256
44 Chuang C C, Hsiao C C, Jeng J T. A novel approach for TSK fuzzy modeling with outliers[A].2003. Iniemational Conference on Machine Learning and cybernetics[C], Piscatawy.NJ, USA: IEEE, 2003:2158-2163
45张伟,张蛟龙等.基于T-S模型的自适应模糊广义预测控制[J].计算技术与自动化, 2009(28), 27(8): 298-300
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