磨矿过程计算机控制系统软件的设计与开发
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
磨矿过程是选矿厂生产过程的最重要环节之一,其主要任务是将矿石经过物理的研磨和分级,使有用矿物与脉石单体解离,为后续的选别作业创造条件。本文以中钢集团山东矿业有限公司苍山选矿厂磨矿生产过程自动化工程项目为背景,依托国家863计划“大型磨机智能控制系统”,开展工程的实际应用及科学研究,研究了磨矿过程的控制方法,包括控制策略和控制算法,进行了磨矿生产过程计算机控制系统软件的设计与开发,包括生产过程控制系统的设计与开发以及过程监控系统的设计与开发。此外,本文还对基于最优评价指标的控制器参数整定方法进行了研究。本文的主要工作内容如下:
     (1)结合苍山选矿厂磨矿生产过程的特点以及过程自动化控制的要求,提出了磨矿过程的控制方法,包括过程回路控制方法和逻辑联锁控制方法。针对过程回路控制方法,通过采集现场数据,建立被控对象模型。控制器参数应用基于最优评价指标的参数整定方法进行整定,整定得出的控制器参数具有适应被控对象的特性,对现场控制器参数的调试有很好的指导意义。针对磨矿生产过程设备采用三种逻辑联锁控制控制方式:设备单机联锁控制,主用与备用设备之间切换联锁控制,设备顺序联锁控制。
     (2)结合磨矿过程的特点和控制要求,进行了磨矿过程计算机控制系统软件的设计工作,包括过程控制系统软件的结构和功能设计以及过程监控系统软件的结构和功能设计两部分;同时提出了具有过程控制和过程监控两层结构的过程自动化系统,该系统具体物理实现框架由工业以太网、控制网和设备网三层网络结构组成,进而实现控制系统的信息集成和功能集成。
     (3)在上述工作基础上,进行了磨矿过程计算机控制系统软件的开发工作,包括过程控制系统软件的开发、过程监控系统软件的开发以及上下位机通讯软件的开发。过程控制系统软件的开发具体完成过程控制回路程序和设备逻辑联锁控制程序的编写工作;过程监控系统软件的开发具体完成运行管理监控和系统管理监控的人机界面开发工作;上下位机通讯软件的开发具体完成上位机和下位机之间的网络通讯实现工作。
     (4)本文设计与开发的计算机控制系统已经成功应用于苍山选矿厂磨矿过程的实际生产过程中。工程应用中,过程监控系统软件功能得到了充分的验证,过程控制系统软件功能取得了良好的工程实施效果,同时基于最优评价指标整定控制器参数的方法也为现场控制器参数的调试工作提供了有益的指导。从实际的运行效果来看,系统稳定可靠、控制灵活、操作方便,降低了生产成本,减轻了操作人员的劳动强度,达到了现场的预期要求。
Grinding process is one of the most important procedures in the mineral processing plant. Its main task is to separate the valuable minerals from the discardable gangue after physical grinding and classification, and avail to the subsequent sorting process. On the background of the project of Cangshan concentrator grinding process automation project, which is built in China Steel Group Shandong Mining Co., Ltd., and "intelligent control system for large-scale mill" of national 863 program, the practical application of engineering and scientific is researched, and the grinding process control methods are studied, including control strategy and control algorithm. And the computer control system software design and development of the grinding process is developed, including the production process control system design and development, as well as process monitoring system design and development. In addition, the methods of PID controller parameters based on the optimal evaluation is aslo studied. The main work of this article reads as follows:
     (1) Combining the grinding process characteristics of Cangshan concentrator, as well as the requirements of process automation control, the grinding process control methods, including process control method and logic interlocking control method is proposed. As for the process loop control method, gather field data and establish charged object model. Controller parameters is based on the method of optimal tuning PID evaluation application. The obtained PID controller parameters are provided with the characteristics of adapting the controlled object. It is a very good guide for the controller parameters on-site testing. The production process of grinding equipment is provided with three interlocking control logic control:the single interlocking control of equipment, the main and back-up switch interlocking control of equipment; the order interlocking control of equipment.
     (2) Combining the characteristics of grinding process and control requirements, the computer control system software of grinding process is designed, including two parts, the structure and function design of process control system software, as well as the structure and function design of process monitoring system software; at the same time, the two-layer structure of process automation systems is designed, including the process control system and the process monitoring system. The system framework of the specific physical realization is composed of three layers network, including the industrial Ethernet network, control network and equipment network. And then information integration and function integration of computer control system are achieved.
     (3) Based on the above mentioned strategy, the computer control system software of grinding process is developed, including process control system software development, process monitoring system software development, as well as upper and lower communication software development. Process control system software development is specifically completed programs of process control loop and logic interlocking control program of equipment; process monitoring system software is specifically completed the development of the human-machine interface, including the development of operation management monitoring and the development of system management monitoring; upper and lower communication is specifically completed the achievement of nerwork communication of upper and lower computer.
     (4) The computer controll system of designed and developed in this paper has been successfully applied to the actual production process of grinding process in Cangshan concentrator. In the engineering applications, the function of process monitoring system software has been fully verified, and a good results of process control system software fuction has been achieved. At the same time, evaluation based on the optimal controller parameter tuning method has provided a useful guide for on-site controller parameters tuning. From the practical operating effects, the system is stable and reliable, flexible to control, easy to operate, lower production costs, reduced operator labor intensity and reached the expectations of the scene.
引文
1.吴公明.我国铁矿石资源的近忧与远虑[J],当代经济,2009,4:84-86
    2.余永富.从炼铁工业发展现状讨论我国铁矿石选矿值得注意的若干问题[J],国外金属矿山,2001,5:40-44
    3.余永富.从炼铁工业发展讨论我国铁矿选矿发展方向[J],金属矿山,2002,8:5-9
    4.余永富.我国铁矿资源有效利用及选矿发展的方向[J],金属矿山,2001,2:9-11
    5. 王义达,等.加入WTO对我国铁矿业的影响及对策[J],金属矿山,2000,1:1-5
    6.傅景海.选矿过程控制和自动化的发展与策略[J],新疆有色金属,1994(3):20-23
    7.方志刚.赴加拿大、印度考察报告[J],北京矿冶研究总院学报,1994,3(1):101-108
    8.丁长兴,韩龙.实现选矿过程控制是选矿工业发展的必由之路[J],国外金属矿选矿,1999,9:29-33
    9.甘经超.美国科珀顿铜选矿厂及其铜钼分离工艺[J],国外金属矿选矿,2001,4:44-45,43
    10.孟哲锋,张光烈.加迪亚选矿厂优化磨矿作业的专家系统[J],国外金属矿山1999,3:63
    11. C.MUNOZ, A.CIPRIANO. An integrated system for supervision and economic optimal control of mineral processing plants[J], Minerals Engineering,1999,12(6):627-643
    12. M.Monshgbar, R.Parkin, R.A Bearman. Application of fuzzy logic and neural network technologies in cone crusher control[J], Minerals Engineering,1995,8(1/2):41-50
    13. R.PEREZ-CORREA, G.GONZALEZ, A.CASALI, et al. Dynamic modeling and advanced multivariable control of conventional flotation circuits [J], Minerals Engineering, 1998,11(4):333-346
    14. L.GBergh, J.B.Yianatos, C.A.Leiva. Fuzzy supervisory control of flotation columns[J], Minerals Engineering,1998,11(8):739-748
    15. L.GBergh, J.B.Yianatos, C.P.Acuna. Hierarchical control strategy for flotation columns[J], Minerals Engineering,1995,8(12):1583-1591
    16. P.Kampjarvi,S.L.jamsa-jounela. Level control strategies for flotation cells[J], Minerals Engineering,2003,16:1061-1068
    17. L.GBergh, J.B.Yianatos, et al. Supervisory control at Salvador flotation columns[J], Minerals Engineering,1999,12(7):733-744
    18. S.-L. Jamsa-Jounela. Current status and future trends in the automation of mineral and metal processing [J], Control Engineering Practice,2001(9):1021-1035
    19.谢应龙.国内外磨矿分级技术的新进展[J],四川有色金属,1994,1:27-36
    20.伊祖俭.凤凰山铜矿浮选药剂自动控制的实践[J],金属矿山,1999,4:47-49,55
    21.崔长志等.南芬选矿厂一段磨矿自动控制应用效果分析[J],金属矿山,2006(5):86-87.
    22.邹金慧,黄宋魏等.基于PLC的磨矿分级智能控制系统[J],自动化仪表,2007,28(11):43-45.
    23.陈夕松,顾薪艳等.磨矿二段球磨浓度前馈串级复合控制系统的设计[J],自动化仪表,2005,25(12):62-64.
    24.楚云飞,徐文立等.基于切换控制的均匀液位控制[J],清华大学学报(自然科学版),2005,45(1):107-110.
    25.T·尼瑟等.磨矿回路中的旋流器控制[J],国外金属矿选矿,2005,7:20-22.
    26.柴天佑.基于ERP/MES/PCS三级结构的金矿企业现代集成制造系统[R],大连:第20届中国控制会议大会特邀报告,2001
    27.王新盈,王钢.磨矿分级过程控制系统的研究[J],云南冶金,2000,29(2),61-64.
    28.国家自然科学基金委员会.自然科学学科发展战略调研报告—冶金与矿业科学,北京:科学出版社,1997,116-132
    29.段仁群.球磨机磨矿分级系统的自动控制[J],矿业研究与开发,2001,6,18-21.
    30.毛益平.磨矿分级过程智能控制方案研究[J],金属矿山,1999,6,35-39.
    31.杨顺梁.选矿知识问答[M],北京:冶金工业出版社,1999,44-47
    32.汪兴亮,李维山,陈之功.磨矿分级生产过程自动控制的研究与实践[J],金属矿山,1997,257(11),28-31.
    33.钱积新等.生产过程综合自动化中的在线优化Ⅰ[J],石油化工自动化,1998,4:2-4
    34.钱积新等.生产过程综合自动化中的在线优化Ⅱ[J],石油化工自动化,1998,5:2-4,17
    35.王桂增,王诗宓等.高等过程控制[M],北京:清华大学出版社,2002
    36.王伟,张晶涛,柴天佑.PID参数先进整定方法综述[J],自动化化学报,2000,26(3):347-355
    37.薛定宇.控制系统计算机辅助设计——MATLAB语言与应用(第2版)[M],北京:清华大学出版社,2006,267-278
    38. Xue D, Atherton D P. A suboptimal reduction algorithm for linear systems with a time delay. International Journal of Control,1994,60(2):181-196
    39.丘远.计算机自动控制系统在氧化铝熟料烧成生产中的应用[J],焦作工学院报,2001.
    40.魏万迎.顺序控制的编程形式分析[J],机床电器,1998:31-35.
    41. Wang L, Cluett W R. System identification based on closed on closed-loop step response data [J]. IEE Proc.-D,1994,141(2).
    42. Johansson R. System modeling and identification [J], Prentice Hall,1993.
    43.李少远,蔡文剑.工业过程辨识与控制[M],北京:化学工业出版社,2005,108-122.
    44.张晓芳,于军琪,何廷树,刘春莲.基于模糊PID的选矿分级变频调速稳压系统[J],金属矿山,2009,391(1),118-121.
    45.王琛,王仕成.基于遗传算法的PID参数整定及仿真[J],计算机仿真,2005,22(10)
    46.项国波.ITAE最佳控制[M],北京:机械工业出版社,1986,11-36,213-247
    47.徐峰,李东海,薛亚丽.基于ITAE指标的PID参数整定方法比较[J],中国电机工程学报,2003,23(8):206-210
    48.杨益群,项国波.新的ITAE最佳传递函数标准型[J],信息与控制,1997,26(4):259-265
    49. Zhuang M, Atherton D P. Automatic tuning of optimum PID controllers. Proceedings of IEE, Part D,1993,140:216-224
    50. O'Dwyer A. Handbook of PI and PID controller tuning rules. London:Imperial College Press,2003
    51. Murrill P W. Automatic control of processes. International Textbook Co,1967
    52. Wang F S, Juang W S, Chan C T. Optimal tuning of PID controllers for single and cascade control loops. Chemical Engineering Communication,1995,132:15-34
    53.章臣樾.锅炉动态特性及其数学模型[M],北京:水利电力出版社,1986,139-168
    54.李少远,蔡文剑.工业过程辨识与控制[M],北京:化学工业出版社,2005,108-153
    55.王树清.工业过程控制工程[M],北京:化学工业出版社,2002,59-101
    56.潘立登.过程控制[M],北京:机械工业出版社,2008,19-25.
    57. V attdeeursen J M,Peperstraete J A.Internal model control with improved disturbance rejection[J], Int control,1995, vol.62, No.4:983-999
    58.郭一楠,常俊林,赵峻,樊晓虹.过程控制系统[M],北京:机械工业出版社,2009,174-176.
    59.方康玲.过程控制系统(第二版)[M],武汉:武汉理工大学出版社,2007,155-156.
    60.韩梦玮.顺序控制技术[M],北京:国防工业出版社,1987
    61.娄东刚,陈明友,夏明.顺序控制系统设计中的若干问题探讨[J],中国电力,1997,3:50-52
    62.魏万迎.顺序控制的编程形式分析[J],机床电器,1998,2:32-35,31
    63.周平,基于案例推理的磨矿粒度软测量方法及其应用研究[D],沈阳东北大学,2006.
    64. Najim K, Hodouin D, Desbiens A. Adaptive control:state of the art and application to a grinding process [J]. Powder Technology,1995,82(1):59-68.
    65. Ramasamv M, Narayanan S S, Rao C D P. Control of ball mill grinding circuit using model predictive control scheme [J]. Journal of process control,2005,15(3):273-283.
    66. Stange W. Using artificial neural networks for the control of grinding circuits [J]. Minerals Engineering,1993,6(5):479-489.
    67.张海藩.软件工程导论(第三版)[M],北京:清华大学出版社,1998
    68. Jack G. Ganssle. The Art of Designing Embedded Systems[M]. US:Newnes,2002:1-5
    69. Rockwell Automation. Getting Started with RSLogix5000 [M], Milwaukee:Rockwell Automation,2005,6.
    70. Rockwell Automation. EtherNet/IP网络在工业控制领域应用以太网[M], Milwaukee: Rockwell Automation,2007,2-8.
    71. Rockwell Automation. ControlNet系统概述[M], Milwaukee:Rockwell Automation, 2007,2-9.
    72.龚顺镒等.工业控制自动化实用技术手册[M],北京:机械工业出版社,2009,696-711.
    73.甘永梅,李庆丰,刘晓娟等.现场总线及其应用技术[M],北京:机械工业出版社,2004.
    74.李东.中钢集团山东矿业公司揭牌成立[J],中国冶金报,2006,005

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700