基于JX-300XP计算机集散控制系统应用研究
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摘要
SUPCON JX-300XP DCS系统是浙大中控技术有限公司DCS新品种的代表，是一种基于现场总线的新型集散控制系统。本课题利用该系统和实验室多种控制对象相结合，结合实际构建了一个完整的DCS控制平台。在此基础上在SUPCON DCS系统上完成了多种控制方案的控制组态、绘制流程图、趋势曲线、数据报表、报警组态等多项设计任务；并且在JX-300XP系统上结合实验室实际控制对象，对其中部分控制方案做了常规控制实验，得到了实验结果和实验曲线，并对各种实验结果进行了分析，取得了较好的控制效果。
虽然集散控制系统是当今应用最为广泛的计算机控制系统，但多数企业的DCS还停留在常规控制，因此对其资源的开发具有重大的意义，其中先进控制的研究就是其中很重要的一个部分。
在实际生产过程中，大迟延、多变量和耦合的复杂控制系统，一股很难得到其精确数学模型，进而对其无法进行有效的控制。现在一股采用常规的PID控制方案，无法达到良好的效果。而随着现代控制理论的发展和多年的实践摸索，先进控制技术已经成熟，特别是针对无法准确建立数学模型的现代工业尤为适用。针对复杂过程的这种特点，本文利用MATLAB软件对部分模糊控制算法进行了仿真研究，然后结合实验室实际的被控对象，针对工业控制过程利用SUPCON系统SCX语言开发了模糊控制算法，并对其实现了实时控制，实验效果表明整个控制系统具有良好的稳定性、鲁棒性和抗干扰性。
The SUPCON JX-300 XP DCS system is the representative of new species which the Zhejiang University Zhongkong Technique Limited Company manufactures, a new distributed control system based on the field bus. This topic combines this system with various control objects of laboratory, and sets up a DCS control platform according to practice. On this basis completed many kinds of controls plan and many design task, including the control configuration, the plan flow chart, the trend curve, the data report form, the reports to the configuration; Finally integration the laboratory actual controlled object, some of the convention control experiment has been done to part of control plan, with the experimental result and the experimental curve is obtained ,and analysis has carried on to each kind of experimental result, achieving better control results.
Although DCS is the computer control system most widely used nowadays, the DCS of most business enterprises still stays around the routine control, so as to the development of its resources has the important meaning. Among them, the research of the advanced control is a very important part.
In actual production process, the coupled and complicated control system that has the big delay and multivariate generally very rarely arrives its precise mathematics model then can't be carried out valid control. Now the routine PID control scheme is adopted, attaining no favorable effects. Along with the development of the modern control theories and over year practice, the technique of advanced control protocol is already mature, especially in view of the modern industry which can't establish the accurate mathematics model .Aimed at these features of complex processing, this text makes use of MATLAB to carry out simulation study on part of the fuzzy control algorithms, then develops fuzzy control algorithms using the SCX language of the SUPCON system combined with the actual controlled object in the laboratory and in view of the control procedure in industry. The real-time control is achieved by the algorithms. The effect of experiment demonstrates that the whole control system has the good stability, robust and noise immunity.
虽然集散控制系统是当今应用最为广泛的计算机控制系统，但多数企业的DCS还停留在常规控制，因此对其资源的开发具有重大的意义，其中先进控制的研究就是其中很重要的一个部分。
在实际生产过程中，大迟延、多变量和耦合的复杂控制系统，一股很难得到其精确数学模型，进而对其无法进行有效的控制。现在一股采用常规的PID控制方案，无法达到良好的效果。而随着现代控制理论的发展和多年的实践摸索，先进控制技术已经成熟，特别是针对无法准确建立数学模型的现代工业尤为适用。针对复杂过程的这种特点，本文利用MATLAB软件对部分模糊控制算法进行了仿真研究，然后结合实验室实际的被控对象，针对工业控制过程利用SUPCON系统SCX语言开发了模糊控制算法，并对其实现了实时控制，实验效果表明整个控制系统具有良好的稳定性、鲁棒性和抗干扰性。
The SUPCON JX-300 XP DCS system is the representative of new species which the Zhejiang University Zhongkong Technique Limited Company manufactures, a new distributed control system based on the field bus. This topic combines this system with various control objects of laboratory, and sets up a DCS control platform according to practice. On this basis completed many kinds of controls plan and many design task, including the control configuration, the plan flow chart, the trend curve, the data report form, the reports to the configuration; Finally integration the laboratory actual controlled object, some of the convention control experiment has been done to part of control plan, with the experimental result and the experimental curve is obtained ,and analysis has carried on to each kind of experimental result, achieving better control results.
Although DCS is the computer control system most widely used nowadays, the DCS of most business enterprises still stays around the routine control, so as to the development of its resources has the important meaning. Among them, the research of the advanced control is a very important part.
In actual production process, the coupled and complicated control system that has the big delay and multivariate generally very rarely arrives its precise mathematics model then can't be carried out valid control. Now the routine PID control scheme is adopted, attaining no favorable effects. Along with the development of the modern control theories and over year practice, the technique of advanced control protocol is already mature, especially in view of the modern industry which can't establish the accurate mathematics model .Aimed at these features of complex processing, this text makes use of MATLAB to carry out simulation study on part of the fuzzy control algorithms, then develops fuzzy control algorithms using the SCX language of the SUPCON system combined with the actual controlled object in the laboratory and in view of the control procedure in industry. The real-time control is achieved by the algorithms. The effect of experiment demonstrates that the whole control system has the good stability, robust and noise immunity.
引文
[1] 韩峻峰．模糊控制技术．重庆大学出版社，2003．5：1-66
[2] 王树青等．先进控制技术及应用．北京：化学工业出版社，2001
[3] 牛昱光等．Des教学实验系统的实现．太原理工大学学报，2004，5：585-587
[4] JX-300XP系统使用手册．浙江中控技术有限公司，2005．7
[5] AdvanTrol-Pro(V2．40)软件使用手册．浙江中控技术有限公司，2005．7
[6] 王树青．工业过程控制工程．北京：化学工业出版社，2003：2-191．
[7] 周景振，韩曾晋，日本模糊控制理论与应用的进展控制理论与应用，1997：453-458
[8] 李洪兴，Fuzzy控制的本质与一类高精度Fuzzy控制器的设计，控制理论与应用，1997：867-872
[9] E.H. Bristol, A simple adaptive system for industrial control. Instrumentation Techonology, 1967(June)
[10] 沈木兰，顾绳谷，模糊控制的回顾和发展趋势．工业仪表与自动化装置，1994：3-6
[11] 彭声亮，模糊控制技术的应用与发展评述．自动化与仪器仪表，1995．2：7-11
[12] 刘有才，刘增良，模糊专家系统原理与设计．北京：北京航空航天大学出版社，1995：3-50
[13] Ernest C, Control problems in fuzzy systems, Fuzzy Sets and Systems, 1982.7:257-273
[14] 余永权，单片机与家用电器智能化技术．北京：电子工业出版社，1995：10-30
[15] 吴晓帆，蔡自兴，自动化控制的发展与未来．石油化工自动化，1999．5：
[16] 王立新，模糊系统与模糊控制教程．北京：清华大学出版社，2003：15-45
[17] 杨辉，王金章，多变量解耦模糊控制的研究．控制与决策，1988：17-21
[18] 唯刚，陈来九，规则自适应模糊控制器．控制理论与应用，1997：520-525
[19] 何洪，周恩涛，滞后复杂系统的多步预报自学习模糊控制控制与决策，1996：300-303
[20] 应行仁，采用最大隶属度决策方法的Fuzzy逻辑控制器分析，模糊数学，1982：1-12
[21] 皮道映，孙优贤，一种新的多模型模糊自适应控制算法．控制与决策，1992：77-80
[22] 刘有才，刘增良，模糊专家系统原理与设计．北京：北京航空航天大学出版社，1995
[23] 汪培庄，模糊集合论及其应用．上海：上海科学技术出版社，1983：32-48
[19] Joongseon Job, Ye-Haw then, Reza Langari, on the stability isseus of linear. Takagi-Sugeno fuzzy models. IEEE Trans. Fuzzy Syst, 1998:402-410
[20] 贺剑锋，陈晖，黄石生，模糊控制的新近发展．控制理论与应用，1994．11：129-136
[21] 胡包钢，应浩，模糊PID控制技术研究发展回顾及其面临的若干重要问题．自动化学报，200l：567-584
[22] Ying H, Analytical relationship between the fuzzy PID controllers and the linear PID control Technical Report, Department of Biomedical Engineering, The University of Alabama at Birmingham, 1987
[23] Ying H, Fuzzy Control and Modeling: Analytical Foundation&Application, New York: IEEE Pres, 2000
[24] Yina H, Siler W, guckley JJ, Fuzzy control theory. A nonlinear case. Automatica, 1990:513-520
[25] Yina H,A fuzzy controller with linear control rules is the sum of aalobal two-dimentional multilevel relay and a local nonlinear proportional-intearal controller. Automationca, 1993: 499-505
[26] Zhao Z Y, Tomizuka M, Isaka S, Fuzzy aain schedulina of PID controllers. IEEETrans. On systems Man&Cyberntiocs, 1993:1392-1398
[27] He S Z, Tan S, Wana P Z, Fuzzy self-tunina PID controllers, Fuzzy Sets&syst, 1993:37-46
[28] Astrom K.J, Hagglund. T, PID Controllers Theory. Desian and Tunina. Instrument Society of America, 1995
[29] Visioli A, Fuzzy loaic based set-point weiaht tunina of PID controllers, IEEE Transaction on Systems, Man&Cybernetics, Part A: Systems and Hamans, 1999:587-592
[30] Kim J H, Kim K C, Chong K P, Fuzzy precompensated PID controllers, IEEE Fransactions on Control Systems Technology, 1995. 2,406-411
[31] 刘金琨，先进PID控制MATLAB仿真．北京：电子工业出版社，2004．9：94-146
[32] 刘金琨，滑模变结构控制MATLAB仿真．北京：清华大学出版社，2005．10：25-80
[2] 王树青等．先进控制技术及应用．北京：化学工业出版社，2001
[3] 牛昱光等．Des教学实验系统的实现．太原理工大学学报，2004，5：585-587
[4] JX-300XP系统使用手册．浙江中控技术有限公司，2005．7
[5] AdvanTrol-Pro(V2．40)软件使用手册．浙江中控技术有限公司，2005．7
[6] 王树青．工业过程控制工程．北京：化学工业出版社，2003：2-191．
[7] 周景振，韩曾晋，日本模糊控制理论与应用的进展控制理论与应用，1997：453-458
[8] 李洪兴，Fuzzy控制的本质与一类高精度Fuzzy控制器的设计，控制理论与应用，1997：867-872
[9] E.H. Bristol, A simple adaptive system for industrial control. Instrumentation Techonology, 1967(June)
[10] 沈木兰，顾绳谷，模糊控制的回顾和发展趋势．工业仪表与自动化装置，1994：3-6
[11] 彭声亮，模糊控制技术的应用与发展评述．自动化与仪器仪表，1995．2：7-11
[12] 刘有才，刘增良，模糊专家系统原理与设计．北京：北京航空航天大学出版社，1995：3-50
[13] Ernest C, Control problems in fuzzy systems, Fuzzy Sets and Systems, 1982.7:257-273
[14] 余永权，单片机与家用电器智能化技术．北京：电子工业出版社，1995：10-30
[15] 吴晓帆，蔡自兴，自动化控制的发展与未来．石油化工自动化，1999．5：
[16] 王立新，模糊系统与模糊控制教程．北京：清华大学出版社，2003：15-45
[17] 杨辉，王金章，多变量解耦模糊控制的研究．控制与决策，1988：17-21
[18] 唯刚，陈来九，规则自适应模糊控制器．控制理论与应用，1997：520-525
[19] 何洪，周恩涛，滞后复杂系统的多步预报自学习模糊控制控制与决策，1996：300-303
[20] 应行仁，采用最大隶属度决策方法的Fuzzy逻辑控制器分析，模糊数学，1982：1-12
[21] 皮道映，孙优贤，一种新的多模型模糊自适应控制算法．控制与决策，1992：77-80
[22] 刘有才，刘增良，模糊专家系统原理与设计．北京：北京航空航天大学出版社，1995
[23] 汪培庄，模糊集合论及其应用．上海：上海科学技术出版社，1983：32-48
[19] Joongseon Job, Ye-Haw then, Reza Langari, on the stability isseus of linear. Takagi-Sugeno fuzzy models. IEEE Trans. Fuzzy Syst, 1998:402-410
[20] 贺剑锋，陈晖，黄石生，模糊控制的新近发展．控制理论与应用，1994．11：129-136
[21] 胡包钢，应浩，模糊PID控制技术研究发展回顾及其面临的若干重要问题．自动化学报，200l：567-584
[22] Ying H, Analytical relationship between the fuzzy PID controllers and the linear PID control Technical Report, Department of Biomedical Engineering, The University of Alabama at Birmingham, 1987
[23] Ying H, Fuzzy Control and Modeling: Analytical Foundation&Application, New York: IEEE Pres, 2000
[24] Yina H, Siler W, guckley JJ, Fuzzy control theory. A nonlinear case. Automatica, 1990:513-520
[25] Yina H,A fuzzy controller with linear control rules is the sum of aalobal two-dimentional multilevel relay and a local nonlinear proportional-intearal controller. Automationca, 1993: 499-505
[26] Zhao Z Y, Tomizuka M, Isaka S, Fuzzy aain schedulina of PID controllers. IEEETrans. On systems Man&Cyberntiocs, 1993:1392-1398
[27] He S Z, Tan S, Wana P Z, Fuzzy self-tunina PID controllers, Fuzzy Sets&syst, 1993:37-46
[28] Astrom K.J, Hagglund. T, PID Controllers Theory. Desian and Tunina. Instrument Society of America, 1995
[29] Visioli A, Fuzzy loaic based set-point weiaht tunina of PID controllers, IEEE Transaction on Systems, Man&Cybernetics, Part A: Systems and Hamans, 1999:587-592
[30] Kim J H, Kim K C, Chong K P, Fuzzy precompensated PID controllers, IEEE Fransactions on Control Systems Technology, 1995. 2,406-411
[31] 刘金琨，先进PID控制MATLAB仿真．北京：电子工业出版社，2004．9：94-146
[32] 刘金琨，滑模变结构控制MATLAB仿真．北京：清华大学出版社，2005．10：25-80