气动板形仪动态标定及板形控制性能研究
|
摘要
铝箔冷轧带材越来越广泛的应用于工业生产各领域,对带材的板形质量要求越来越高,因此需要通过各种控制手段提高板形质量。而板形检测是实现板形控制的重要环节,尤其是在板形的自动控制过程中,板形检测装置能否为控制系统迅速、准确地提供在线板形信息,直接影响着轧制产品的质量。在铝箔带材轧制过程中,由于板形检测和控制技术不完善,致使板形质量成为铝箔加工过程中的关键技术难题。因此超薄板和箔材的板形检测与控制技术就成为精密带材轧制成套设备的核心关键技术。
本课题以我校自行研制的气动板形仪为基础,设计了一套动态标定实验台,根据光纤传感器定位原理,通过大量实验研究了板形检测辊在旋转过程中的压差变化曲线,得出其周期性出现的规律,分别采用最小二乘多项式拟合法和平均值法两种方法消除了气动板形检测辊存在的系统圆周误差。在消除系统圆周误差的基础上,利用虚拟仪器软件LabVIEW开发了配套的板形测试实验软件,通过实验对检测辊进行了动态标定,得出了每个检测辊的压差—负载曲线,为板形的在线检测与控制打下了基础。
以我校现有的300四辊可逆轧机为实验装置,将此板形测试系统应用于实际的轧制实验,通过基于欧式距离的板形模糊识别方法对板形检测数据进行模式识别,利用虚拟仪器DataSocket技术将板形模式识别结果传输到四辊可逆轧机的板厚控制系统中,实现了板形板厚的综合控制。
Aluminum foil is widely used in various industrial production. It is necessary to improve the quality of flatness by using more control methods to meet the demand of high quality flatness. Shape examination is the most important thing in the flatness control particularly in the automatic flatness control. Whether the detection devices supply the online flatness information immediately and accurately for the control system directly influence the quality of the product. Flatness quality will become the key technical problem in the aluminum foil rolling process because the flatness measurement and control technology is imperfect. Therefore, the flatness measurement and control technology of thin plate and foil has become the key technology in the sophisticated rolling set of equipment.
In this paper, the dynamic calibration bench has been designed in the base of the pneumatic strip shape measuring roll in our school. It analyzed the pressure change curves of the rotating rollers through a large number of experiments according to the method of the optical fiber sensor phase localization and obtained the periodicity rule of the curves along the circumference. It used the least-square principle and average method to eliminate the circumferential error of the pneumatic strip shape measuring roll. Further more, the corresponding experiment software has been developed by the virtual instrument software LabVIEW. It has obtained each measuring roller's pressure-load curve through the dynamic calibration and built the foundation for the flatness online measurement and control.
Applying the pneumatic strip shape measuring roll in the 300 four-rollers reverse rolling mill,the result of the flatness recognition pattern which was recognized by the method of the fuzzy recognition pattern will be transferred to the gauge control system by using the DataSocket technology of virtual Instrument. Furthermore, it accomplished the AGC-AFC system.
本课题以我校自行研制的气动板形仪为基础,设计了一套动态标定实验台,根据光纤传感器定位原理,通过大量实验研究了板形检测辊在旋转过程中的压差变化曲线,得出其周期性出现的规律,分别采用最小二乘多项式拟合法和平均值法两种方法消除了气动板形检测辊存在的系统圆周误差。在消除系统圆周误差的基础上,利用虚拟仪器软件LabVIEW开发了配套的板形测试实验软件,通过实验对检测辊进行了动态标定,得出了每个检测辊的压差—负载曲线,为板形的在线检测与控制打下了基础。
以我校现有的300四辊可逆轧机为实验装置,将此板形测试系统应用于实际的轧制实验,通过基于欧式距离的板形模糊识别方法对板形检测数据进行模式识别,利用虚拟仪器DataSocket技术将板形模式识别结果传输到四辊可逆轧机的板厚控制系统中,实现了板形板厚的综合控制。
Aluminum foil is widely used in various industrial production. It is necessary to improve the quality of flatness by using more control methods to meet the demand of high quality flatness. Shape examination is the most important thing in the flatness control particularly in the automatic flatness control. Whether the detection devices supply the online flatness information immediately and accurately for the control system directly influence the quality of the product. Flatness quality will become the key technical problem in the aluminum foil rolling process because the flatness measurement and control technology is imperfect. Therefore, the flatness measurement and control technology of thin plate and foil has become the key technology in the sophisticated rolling set of equipment.
In this paper, the dynamic calibration bench has been designed in the base of the pneumatic strip shape measuring roll in our school. It analyzed the pressure change curves of the rotating rollers through a large number of experiments according to the method of the optical fiber sensor phase localization and obtained the periodicity rule of the curves along the circumference. It used the least-square principle and average method to eliminate the circumferential error of the pneumatic strip shape measuring roll. Further more, the corresponding experiment software has been developed by the virtual instrument software LabVIEW. It has obtained each measuring roller's pressure-load curve through the dynamic calibration and built the foundation for the flatness online measurement and control.
Applying the pneumatic strip shape measuring roll in the 300 four-rollers reverse rolling mill,the result of the flatness recognition pattern which was recognized by the method of the fuzzy recognition pattern will be transferred to the gauge control system by using the DataSocket technology of virtual Instrument. Furthermore, it accomplished the AGC-AFC system.
引文
1姜树春.铝薄板轧制中的板形控制.轻合金加工技术,2002,30(2):19-21
2乔俊飞,柴天佑.板形控制技术现状及未来发展.冶金自动化,1997,(1):11-14
3张进之.板形理论的进步与应用.冶金设备,2001,(1):1-5
4张清东.冷轧宽带钢板形仪检测与自动控制.钢铁学报,1999,(10):25-32
5吴凤梧.轧制设备配套检测仪表的需求与发展.重型机械,1993,(5):13-16
6庞玉华,罗子健.轧钢板形检测仪研究动向.上海金属,2001,23(1):10-13
7庞玉华,毛小春.新型分段辊式动态板形检测仪.重型机械,1999,(1):10-12
8钟春生,庞玉华,毛小春.板形检测方法研究趋向浅析.重型机械,1998,(6):1-3
9 Zhu Hongtao, Cheng Jiang, Zheng Yi. A Shape Rediction Model in Cold Strip Mill. Integrating Principal Component Analysis and Neural Network,2004, 274 (1):709-714
10徐乐江.板带冷轧机板形控制与机型选择.北京:冶金工业出版社,2007:125-137
11铁碕 ,王敏. ASEA板形控制系统工作原理及技术分析.轻合金加工技术,1997,25(6):18-21
12 Mucke Gert, Gorgels Frank. Flatness Measurement for High Quality Cold Strip Production. MPT Metallurgical Plant and Technology International,2007,30(1):70-75
13胡晓明.准工业化气动板形检测仪的开发研究. [燕山大学工学硕士学位论文].2005:2-5
14王快社,栾亚群.采用激振测频法检测板形.新技术新工艺,2002,(11):16-17
15 Photomatrix. Measurement on the Move: On-line Non-contact Measurement, Steel Times International, 1995,(5):32-34
16 Wanson Kenneth R, Grube Bruce B, McClarin, Robert Q. On-line Shape Measurement and Control for a 2-stand Temper Mill. Iron and Steel Engineer,1986,63(10):29-35
17 Reinen, Vander Poel. Preliminary Results of the First Tinplate Mill Vidimon-vidiplan Shape Control System. Iron and Steel Engineer,1983,211(11):575-576
18杨铁林,孙旭光,李鹏飞.有限元素法在气动板形仪检测辊上的应用.燕山大学学报,2000,24(1):64-69
19孙旭光,胡晓明,李立丰,等.气动板形检测辊设计和气膜压力场数值求解.流体传动与控制,2005,(4):13-16
20尹国芳,王益群.气动板形检测辊静态特性研究.液压与气动,2004,(8):28-30
21孙旭光,王益群,尹国芳,等.气动板形检测辊及其主要技术性能.钢铁研究学报, 2006,18(12):47-49
22 Godfrey, Graham. Shape Measurement and Control on Hot and Cold Mills. South African Mechanical Engineer,1987,37(10):493-495
23张秀玲.冷带轧机板形智能识别与智能控制研究. [燕山大学工学博士学位论文].2002:23-39
24 Spreitzhofer, Gunter; Duemmler, Alfred. Contactless Flatness Measurement Improves Measurement Quality in Cold Rolling Mills. SEAISI Quarterly,2003,1(32):43-50
25唐谋凤.现代带钢冷连轧机的自动化.北京:冶金工业出版社,1995:146-152
26孙一康,童朝南,彭开香.冷轧生产自动化技术.北京:冶金工业出版社,2006:101-106
27郑岗,谢云鹏,刘丁,等.板形检测与板形控制方法.重型机械,2002(5):1-3
28张易之.虚拟仪器的设计与实现.西安:西安电子科技大学出版社,2002:205-256
29项志量.铝箔轧制中的板形控制.轻合金加工技,2007,35(4):18-21
30孙旭光.高精度气动板形仪研制与板形检测. [燕山大学工学博士后出站报告].2001:10-56
31连家创,刘宏民.板厚板形控制.北京:兵器工业出版社,1996:41-110
32刘永山.冷轧带材板形仪检测系统.基础自动化,2000,7(3):39-41
33王国栋.板形控制和板形理论.北京:冶金工业出版社,1988:1-154
34 Li Xiaoyan, Zhang Jie, Chen Xianlin. Improvement on Strip Flatness of Cold Temper Mills by Modifying Roll Contour Shape. Journal of University of Science and Technology Beijing,2004,11(3):251-255
35 Bai Jian, Zhang Qingdong, Chang Tiezhu. Target Curve Setting Model for Automatic Flatness Control on Stand 1 of 1420 Cold Tandem Mill. Iron and Steel, 2007,42(10): 56-59
36林振波,段振勇,连家创.冷轧机板形标准曲线的分析及选择方法.钢铁研究学报,1997,19(3):55-57
37贾春玉,尚志东.冷轧板形目标曲线的补偿设定.钢铁研究学报,2000,(8):64-67
38尹国芳.高精度铝箔板形测试系统的研究. [燕山大学工学博士学位论文].2006:18-27
39李立峰.准工业化气动板形检测仪的开发研究. [燕山大学工学硕士学位论文].2006:52-58
40戴敬,王世立. LabVIEW基础教程.北京:国防工业出版社,2002:3-20,157-164
41雷振山. LabVIEW7 Express实用技术教程.北京:中国铁道出版社,2005:337-338
42 Hu Weilong. Theoretical Analysis and Experimental Study to Support the Development of a More Valuable Roll-bending Process. International Journal of Machine Tools and Manufacture,2001,41(5):731-747
43 Lopez Carlos, Garcia Daniel F, Usamentiaga Ruben. Real Time System for Flatness Inspection of Steel Strips. The International Society for Optical Engineering,2005, (5679):228-238
44刘建,王益群.基于虚拟仪器的四辊可逆轧机AGC系统研究.现代制造工程,2006,10 (11):6-8
45 Kim Kyoung Min, Park Joong Jo, Song Myung Hyun. Binary Decision Tree Using Genetic Algorithm for Recognizing Defect Patterns of Cold Mill Strip. Lecture Notes in Artificial Intelligence,2004(3060):461-466
46 Liu Jianchang, Wang Zhu. CMAC-based Fuzzy Controller for Strip Flatness Pattern Recognition. Journal of Northeastern University,2005,26(8):718-721
47王益群,刘建,宁淑荣.基于虚拟仪器的板形模式识别系统研究.中国机械工程,2008,3(9):334-337
48 Yin Guofang, Wang Yiqun, Sun Xuguang. Research on Shape Signal Pattern Recognition Based on Neural Network. China Mechanical Engineering, 2004,15(24): 2207-2210
49 Zhang Cai, Tan Jianping. Strip Flatness Pattern Recognition Based on Genetic Algorithms-back Propagation Model. Journal of Central South University,2006,37(2): 294-299
50 Wang Yiqun, Yin Guofang, Sun Xuguang. Research for Pattern Recognition of Shape Signal Method. Jixie Gongcheng Xuebao, 2003,39(8):91-94
51 Qiao Junfei, Guo Ge, Cai Tianyou. Fuzzy Shape Pattern Recognition Method. Iron and Steel,1998,33(6):37-40
52彭开香,童朝南,董洁,等. 1400mm铝带箔冷轧机板形控制系统.冶金自动化,2004,4(28):32-35
53杨荃,陈先霖.冷轧机的板形控制目标模型.北京科技大学学报,1995,17(3):254-258
54徐悦,柴天佑,毛志忠.四辊可逆冷轧机板形控制系统的研究.冶金自动化,1995, 19(1): 8-12
55 Wang Yan, Hu Changbin, Kanae Shunshoku. Optimization and Design of Compound Fuzzy Control for Hydraulic Bending Roll System. Research Reports on Information Science and Electrical Engineering of Kyushu University,2007,12(2):75-80
56王益群,王海芳,高英杰,等.基于神经网络PID的轧机AGC力控制.中国机械工程,2005,16(18):1650-1653
57 Wang Yiqun, Liu Jian, Ning Shurong. Hydraulic Bend Control System Research of Fuzzy Self-adaptive PID Based on Virtual Instrument. IET Conference Publications, Hangzhou,2006:2120-2124
58孙一康.带钢冷连轧计算机控制.北京:冶金工业出版社,2002:12-18
59 Hu Jiwen, Chen Jianhui, Li Xuyuan. DataSocket Technique and its Application in Measurement and Control System Based on Network. Proceedings of the International Symposium on Test and Measurement,2003(1):737-740
60 Han Huilian, Xu Li, Jiang Helei. DataSocket Technology and Its Application in Virtual Instrument Based on Network. Proceedings of the International Symposium on Test and Measurement,2003(6):4555-4558
61 Li Haitao, Yang Leping. Remote Data Acquisition System Based on Datasocket Technology. The International Society for Optical Engineering,2003,(5253):568-571
62杨乐平,李海涛,赵勇. LabVIEW高级程序设计.北京:清华大学出版社,2003:211-229
63卢秉林.板形—板厚综合控制方法的探讨.冶金设备,2002,(134):9-11
64 Wang Fenhua, Sun Yikang, Chen Zhanying. Strip Flatness and Gauge Composite Control System Based on Fuzzy Neural Networks. Journal of University of Science and Technology Beijing,2003,25(2):182-184
65 Huang Min, Cui Baotong. Strip Flatness and Gauge Control Based on Wavelet Neural Networks. Journal of Nanjing University of Aeronautics and Astronautics,2006(38): 95-98
2乔俊飞,柴天佑.板形控制技术现状及未来发展.冶金自动化,1997,(1):11-14
3张进之.板形理论的进步与应用.冶金设备,2001,(1):1-5
4张清东.冷轧宽带钢板形仪检测与自动控制.钢铁学报,1999,(10):25-32
5吴凤梧.轧制设备配套检测仪表的需求与发展.重型机械,1993,(5):13-16
6庞玉华,罗子健.轧钢板形检测仪研究动向.上海金属,2001,23(1):10-13
7庞玉华,毛小春.新型分段辊式动态板形检测仪.重型机械,1999,(1):10-12
8钟春生,庞玉华,毛小春.板形检测方法研究趋向浅析.重型机械,1998,(6):1-3
9 Zhu Hongtao, Cheng Jiang, Zheng Yi. A Shape Rediction Model in Cold Strip Mill. Integrating Principal Component Analysis and Neural Network,2004, 274 (1):709-714
10徐乐江.板带冷轧机板形控制与机型选择.北京:冶金工业出版社,2007:125-137
11铁碕 ,王敏. ASEA板形控制系统工作原理及技术分析.轻合金加工技术,1997,25(6):18-21
12 Mucke Gert, Gorgels Frank. Flatness Measurement for High Quality Cold Strip Production. MPT Metallurgical Plant and Technology International,2007,30(1):70-75
13胡晓明.准工业化气动板形检测仪的开发研究. [燕山大学工学硕士学位论文].2005:2-5
14王快社,栾亚群.采用激振测频法检测板形.新技术新工艺,2002,(11):16-17
15 Photomatrix. Measurement on the Move: On-line Non-contact Measurement, Steel Times International, 1995,(5):32-34
16 Wanson Kenneth R, Grube Bruce B, McClarin, Robert Q. On-line Shape Measurement and Control for a 2-stand Temper Mill. Iron and Steel Engineer,1986,63(10):29-35
17 Reinen, Vander Poel. Preliminary Results of the First Tinplate Mill Vidimon-vidiplan Shape Control System. Iron and Steel Engineer,1983,211(11):575-576
18杨铁林,孙旭光,李鹏飞.有限元素法在气动板形仪检测辊上的应用.燕山大学学报,2000,24(1):64-69
19孙旭光,胡晓明,李立丰,等.气动板形检测辊设计和气膜压力场数值求解.流体传动与控制,2005,(4):13-16
20尹国芳,王益群.气动板形检测辊静态特性研究.液压与气动,2004,(8):28-30
21孙旭光,王益群,尹国芳,等.气动板形检测辊及其主要技术性能.钢铁研究学报, 2006,18(12):47-49
22 Godfrey, Graham. Shape Measurement and Control on Hot and Cold Mills. South African Mechanical Engineer,1987,37(10):493-495
23张秀玲.冷带轧机板形智能识别与智能控制研究. [燕山大学工学博士学位论文].2002:23-39
24 Spreitzhofer, Gunter; Duemmler, Alfred. Contactless Flatness Measurement Improves Measurement Quality in Cold Rolling Mills. SEAISI Quarterly,2003,1(32):43-50
25唐谋凤.现代带钢冷连轧机的自动化.北京:冶金工业出版社,1995:146-152
26孙一康,童朝南,彭开香.冷轧生产自动化技术.北京:冶金工业出版社,2006:101-106
27郑岗,谢云鹏,刘丁,等.板形检测与板形控制方法.重型机械,2002(5):1-3
28张易之.虚拟仪器的设计与实现.西安:西安电子科技大学出版社,2002:205-256
29项志量.铝箔轧制中的板形控制.轻合金加工技,2007,35(4):18-21
30孙旭光.高精度气动板形仪研制与板形检测. [燕山大学工学博士后出站报告].2001:10-56
31连家创,刘宏民.板厚板形控制.北京:兵器工业出版社,1996:41-110
32刘永山.冷轧带材板形仪检测系统.基础自动化,2000,7(3):39-41
33王国栋.板形控制和板形理论.北京:冶金工业出版社,1988:1-154
34 Li Xiaoyan, Zhang Jie, Chen Xianlin. Improvement on Strip Flatness of Cold Temper Mills by Modifying Roll Contour Shape. Journal of University of Science and Technology Beijing,2004,11(3):251-255
35 Bai Jian, Zhang Qingdong, Chang Tiezhu. Target Curve Setting Model for Automatic Flatness Control on Stand 1 of 1420 Cold Tandem Mill. Iron and Steel, 2007,42(10): 56-59
36林振波,段振勇,连家创.冷轧机板形标准曲线的分析及选择方法.钢铁研究学报,1997,19(3):55-57
37贾春玉,尚志东.冷轧板形目标曲线的补偿设定.钢铁研究学报,2000,(8):64-67
38尹国芳.高精度铝箔板形测试系统的研究. [燕山大学工学博士学位论文].2006:18-27
39李立峰.准工业化气动板形检测仪的开发研究. [燕山大学工学硕士学位论文].2006:52-58
40戴敬,王世立. LabVIEW基础教程.北京:国防工业出版社,2002:3-20,157-164
41雷振山. LabVIEW7 Express实用技术教程.北京:中国铁道出版社,2005:337-338
42 Hu Weilong. Theoretical Analysis and Experimental Study to Support the Development of a More Valuable Roll-bending Process. International Journal of Machine Tools and Manufacture,2001,41(5):731-747
43 Lopez Carlos, Garcia Daniel F, Usamentiaga Ruben. Real Time System for Flatness Inspection of Steel Strips. The International Society for Optical Engineering,2005, (5679):228-238
44刘建,王益群.基于虚拟仪器的四辊可逆轧机AGC系统研究.现代制造工程,2006,10 (11):6-8
45 Kim Kyoung Min, Park Joong Jo, Song Myung Hyun. Binary Decision Tree Using Genetic Algorithm for Recognizing Defect Patterns of Cold Mill Strip. Lecture Notes in Artificial Intelligence,2004(3060):461-466
46 Liu Jianchang, Wang Zhu. CMAC-based Fuzzy Controller for Strip Flatness Pattern Recognition. Journal of Northeastern University,2005,26(8):718-721
47王益群,刘建,宁淑荣.基于虚拟仪器的板形模式识别系统研究.中国机械工程,2008,3(9):334-337
48 Yin Guofang, Wang Yiqun, Sun Xuguang. Research on Shape Signal Pattern Recognition Based on Neural Network. China Mechanical Engineering, 2004,15(24): 2207-2210
49 Zhang Cai, Tan Jianping. Strip Flatness Pattern Recognition Based on Genetic Algorithms-back Propagation Model. Journal of Central South University,2006,37(2): 294-299
50 Wang Yiqun, Yin Guofang, Sun Xuguang. Research for Pattern Recognition of Shape Signal Method. Jixie Gongcheng Xuebao, 2003,39(8):91-94
51 Qiao Junfei, Guo Ge, Cai Tianyou. Fuzzy Shape Pattern Recognition Method. Iron and Steel,1998,33(6):37-40
52彭开香,童朝南,董洁,等. 1400mm铝带箔冷轧机板形控制系统.冶金自动化,2004,4(28):32-35
53杨荃,陈先霖.冷轧机的板形控制目标模型.北京科技大学学报,1995,17(3):254-258
54徐悦,柴天佑,毛志忠.四辊可逆冷轧机板形控制系统的研究.冶金自动化,1995, 19(1): 8-12
55 Wang Yan, Hu Changbin, Kanae Shunshoku. Optimization and Design of Compound Fuzzy Control for Hydraulic Bending Roll System. Research Reports on Information Science and Electrical Engineering of Kyushu University,2007,12(2):75-80
56王益群,王海芳,高英杰,等.基于神经网络PID的轧机AGC力控制.中国机械工程,2005,16(18):1650-1653
57 Wang Yiqun, Liu Jian, Ning Shurong. Hydraulic Bend Control System Research of Fuzzy Self-adaptive PID Based on Virtual Instrument. IET Conference Publications, Hangzhou,2006:2120-2124
58孙一康.带钢冷连轧计算机控制.北京:冶金工业出版社,2002:12-18
59 Hu Jiwen, Chen Jianhui, Li Xuyuan. DataSocket Technique and its Application in Measurement and Control System Based on Network. Proceedings of the International Symposium on Test and Measurement,2003(1):737-740
60 Han Huilian, Xu Li, Jiang Helei. DataSocket Technology and Its Application in Virtual Instrument Based on Network. Proceedings of the International Symposium on Test and Measurement,2003(6):4555-4558
61 Li Haitao, Yang Leping. Remote Data Acquisition System Based on Datasocket Technology. The International Society for Optical Engineering,2003,(5253):568-571
62杨乐平,李海涛,赵勇. LabVIEW高级程序设计.北京:清华大学出版社,2003:211-229
63卢秉林.板形—板厚综合控制方法的探讨.冶金设备,2002,(134):9-11
64 Wang Fenhua, Sun Yikang, Chen Zhanying. Strip Flatness and Gauge Composite Control System Based on Fuzzy Neural Networks. Journal of University of Science and Technology Beijing,2003,25(2):182-184
65 Huang Min, Cui Baotong. Strip Flatness and Gauge Control Based on Wavelet Neural Networks. Journal of Nanjing University of Aeronautics and Astronautics,2006(38): 95-98