基于模糊PID控制的工艺风力除尘系统的研究
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摘要
随着计算机应用技术的飞速发展,计算机技术在工业生产控制过程中得到了普遍地应用。在现代卷烟生产过程中,烟丝的输送和卷接都是利用空气负压来实现的,整个生产过程都是在一个封闭管道中进行的,因此,对卷烟生产过程的精确控制将显得尤其重要。
本文首先针对工艺风力除尘系统进行介绍,阐述了工艺风力除尘系统的工艺流程,并对卷接机组的发展历史进行介绍,分析了现行监控系统的优缺点,指出卷烟工艺未来的发展方向。然后分别对模糊控制原理、传统PID控制原理和模糊PID控制原理进行了详细介绍。其中,模糊PID控制的设计是本文的核心部分,根据卷烟生产工业的具体工艺条件,设计了一种基于模糊PID控制方式,对卷烟生产过程进行控制。最后,对基于模糊PID控制的工艺除尘系统的详细设计进行阐述。按照功能需求,利用winCC设计友好的人机交互画面,并利用winCC强大的脚本支持功能,将模糊PID控制算法在winCC中进行实现。
通过实验表明,将模糊PID控制方法应用于工艺风力除尘控制系统中,能有效地提高系统控制精度,增强系统的自我调整和自我恢复能力,具有较大的实用价值。
With the rapid development of the application of computer science. computer technology have been widely used in the control of industrial yield. In the process of modernize tobacco manufacture, both transmission and cigarette making machineare implemented by negative pressure air. The whole manufacture process finished in a close pipe environment. Thus, precise control of the tobacco manufacture being important day by day. This thesis introduce the wind-power and dust system in the first section,
including the system's technological flow and the evolution of passim cigarette making machine. We expatiated on fuzzy control principle、traditional PID control and fuzzy-PID control. Especially, this thesis designed the method of fuzzy-PID control technology. Following this technology,we can make the tobacco manufacture under control. Finally, this thesis definitely introduce the design of process of wind-power and dust system base on fuzzy-PID control。With the requirement of the system function, we utilized winCC designed a friendly interactive interface. With powerful scripting support, the fuzzy PID control algorithm have been implemented in winCC in this thesis.
The result of the experiments show that the fuzzy PID control method is applied to process of wind-power and dust system, can effectively improve the control accuracy, and enhance the system's self-adjustment and self-recovery capability, the design has great practical value.
本文首先针对工艺风力除尘系统进行介绍,阐述了工艺风力除尘系统的工艺流程,并对卷接机组的发展历史进行介绍,分析了现行监控系统的优缺点,指出卷烟工艺未来的发展方向。然后分别对模糊控制原理、传统PID控制原理和模糊PID控制原理进行了详细介绍。其中,模糊PID控制的设计是本文的核心部分,根据卷烟生产工业的具体工艺条件,设计了一种基于模糊PID控制方式,对卷烟生产过程进行控制。最后,对基于模糊PID控制的工艺除尘系统的详细设计进行阐述。按照功能需求,利用winCC设计友好的人机交互画面,并利用winCC强大的脚本支持功能,将模糊PID控制算法在winCC中进行实现。
通过实验表明,将模糊PID控制方法应用于工艺风力除尘控制系统中,能有效地提高系统控制精度,增强系统的自我调整和自我恢复能力,具有较大的实用价值。
With the rapid development of the application of computer science. computer technology have been widely used in the control of industrial yield. In the process of modernize tobacco manufacture, both transmission and cigarette making machineare implemented by negative pressure air. The whole manufacture process finished in a close pipe environment. Thus, precise control of the tobacco manufacture being important day by day. This thesis introduce the wind-power and dust system in the first section,
including the system's technological flow and the evolution of passim cigarette making machine. We expatiated on fuzzy control principle、traditional PID control and fuzzy-PID control. Especially, this thesis designed the method of fuzzy-PID control technology. Following this technology,we can make the tobacco manufacture under control. Finally, this thesis definitely introduce the design of process of wind-power and dust system base on fuzzy-PID control。With the requirement of the system function, we utilized winCC designed a friendly interactive interface. With powerful scripting support, the fuzzy PID control algorithm have been implemented in winCC in this thesis.
The result of the experiments show that the fuzzy PID control method is applied to process of wind-power and dust system, can effectively improve the control accuracy, and enhance the system's self-adjustment and self-recovery capability, the design has great practical value.
引文
[1]唐耀庚.卷烟工艺风力系统压力自学习模糊控制[J].工业仪表与自动化装置,2002(3):36-38
[2]张振峰等.卷烟厂风力送丝组合供丝控制系统的开发与应用[J].烟草科技,2006(9):15-19
[3]谭梅等.基于神经网络的卷烟工艺风力系统的压力控制[J].控制系统,2005(4):40-42
[4]李玉娜.基于遗传算法的锅炉水温PID控制寻优[J].工业控制计算机,2010(9):59-60
[5]侯鹏强.基于模糊PID控制的多电机同步控制研究与实现[D].成都:电子科技大学,2007
[6]杨长亮.基于模糊PID控制的燃气热水锅炉燃烧控制系统的研究[D].成都:电子科技大学,2010
[7]刘同召.基于模糊控制的雨花茶精揉机温度控制系统的研究[D].南京:南京农业大学,2009
[8]刘杰.卷接包工艺质量管理与控制研究[D].昆明:昆明理工大学,2007
[9]Yusuf Kaelan.integrated traction control with implementation of fuzzy logic controller[J].AVEC,2002,6:195-208
[10]P.J.King, E.H.Mamdani. The application of fuzzy control systems to industrial processes[J].Automatica,1997,13(3):235-242
[11]陈夕松,汪木兰.过程控制系统[M].北京:科学技术出版社,2005
[12]章卫国,杨向忠.模糊控制理论与应用[M].西安:西北工业大学出版社,2000.4
[13]陶永化.新型PID控制及其应用[M].北京:机械工业出版社,2002,17-49
[14]左婷.模糊PID控制中模糊控制规则的获取方法[D].长春:东北师范大学,2010
[15]陈崇明.基于模糊控制的PID算法的炉温控制器设计与仿真研究[D].武汉:武汉科技大学,2010
[16]陶永乐等编著.新型PID控制及其应用.北京:机械工业出版社
[17]李楠.PID控制参数现代化设计技术的研究与应用[D].杭州:浙江工业大学,2009
[18]曾光奇.模糊控制理论与工程应用[M].武汉:华中科技大学出版社,2006
[19]刘玉成,刘玉斌.自适应模糊控制在烧结炉系统中的应用[J].控制系统,2009(2):27-61
[20]丁海波.模糊控制的气动比例阀缸系统的位置控制[D].苏州:苏州大学,2009
[21]田峰,王欣,巩旭.实时监控技术在供水系统中的应用[J].电气时代,2006(12):8-12
[22]黄良沛,刘义伦.城市供水系统的优化调度与智能控制研究[D].长沙:中南大学,2005
[23]Mehmet Cunka, Omer Aydogdu. Realization of fuzzy logic controlled breushless DC motor drivers using Matlab/Simulink. Mathematical and Computational Applications, 2010(2):218-229.
[24][美]扎德L.A.著,陈国权译.模糊集合、语言变量及模糊逻辑.北京:科学出版社,2005.
[25]Hakki Murat Genc,Engin Yesil,Ibrahim Eksin,etal.A rule base modification scheme in fuzzy controllers for time-delay systems[J].Expert Systems with Applications,2009,36(4):8476-8486
[26]Huang Shoudao,Wei Yan,Lin Youjie,Wang Yaonan.Fuzzy.Based Power Factor Control for Brushless Doubly.fed Machines.In:Intelligent Control and Automation 2002.Proceedings of the 4th World Congress,2002,587-591.
[27]D.Zhou,R.Spee and G.C.Alexander,Experimental Evaluation of A Rotor Flux Oriented Control Algorithm for Brushless Doubly.Fed Machines[J],IEEE Trans.On PE.1997,12(1):72-78.
[28]Slootweg J.G.,de Haan S.W.H,Polinder H,Kling W.L.General Modal for Representing Variable Speed Wind Turbines in Power System Dynamics Simulations[J].IEEE Transactions on Power Systems,2003,1(18).
[29]Patel M.R.Wind and solar power systems.Boaca Raton[C].US:CRC Press,2000.
[30]P.Cominos,N.Munro.PID controllers:recent tuning methods and design to specification[J].IEEE Proc-Control Theory Appl,2002,149(1):46-53.
[31]I.J.Gyongy,D.W.Clarke.On the automatic tuning and adaptation of PID controllers[J].Control Engineering Practice,2006,14(2):149-163.
[32]Wei-Der Chang.A multi-crossover genetic approach to multivariable PIDcontrollers tuning[J].Expert Systems with Applications,2007,33(3): 620-626.
[33]E.Yeril,M.Guzelkaya,Eksin.Self tuning fuzzy PID type load and frequency controller[J].Energy Conversion and Management,2004,45(3):377-390.
[34]M.Guzelkaya,Eksin,E.Yeil.Self-tuning of PID-type fuzzy logic controller oefficients via relative rate observer[J].Engineering Applications of Artificial Intelligence,2003,16(3):227-236.
[35]L.Rezenik,Ghanayem,A.Bourmistrov.PID Plus Fuzzy Controller Structures as a Design Base of Industrial Applications[J].Engineering Application of ArtificialIntel ligence,2000,13(4):419-430.
[36]Hongxing Zou,etal.Parametric TFR via windowed exponential frequency modulated atoms[J].IEEE Signal Processing Letters,2001,8(5):140-142.
[37]C.Elkan,Hrberenji.The Paradoxical Success of Fuzzy Logic.IEEE Expert,1994.
[38]诸静.模糊控制理论与系统原理[M].北京:机械工业出版社,2005.
[39]Sun Ming,Study of Fuzzy PID Control,Computer Application,2004,4:51-53.
[40]王吉龙.基于模糊PID的温度控制系统.计算机与自动化技术,2008,5,34(5).77-79.
[41]Ang K H,Chong G,Li Yun.PID control system analysis design and technol-ogy.IEEE Transactions on Control Systems Technology.2005,13(4):599.
[42]刘金琨.先进PID控制MATLAB仿真(第二版).北京:电子工业出版社,2004.
[43]Astrom K J,Hagglund T.Revisiting the Ziegler-Nichols step response methodfor PID control Journal of Process Control.2004,14(6):635-650.
[44]Bevrani H,Hiyama T.PI/PID based multi-objective control design:an ILMI approach.In proceedings of IEEE International Conference of Networking, Sensing and Control.Arizona, 2005.750-755.
[45]Masami Saeki.Fixed structure PID controller design for standard H control problem.Automatica.2006,42(1):93-100.
[46]蔡自兴.智能控制-基础与应用[M].北京:国防工业出版社,1998.
[47]孙泽勇.自适应PID在过程控制中的应用研究[M].成都:四川大学出版社,2003.
[48]桑金阳.组合风力送丝优化控制研究.南华大学硕士学位论文,2005.
[49]Li Shiyong.Fuzzy Control[M].Nenurocontrol and Intelligent Cabernetics. Harbin:Harbin Institute of Technology Press,1998,314-321.
[2]张振峰等.卷烟厂风力送丝组合供丝控制系统的开发与应用[J].烟草科技,2006(9):15-19
[3]谭梅等.基于神经网络的卷烟工艺风力系统的压力控制[J].控制系统,2005(4):40-42
[4]李玉娜.基于遗传算法的锅炉水温PID控制寻优[J].工业控制计算机,2010(9):59-60
[5]侯鹏强.基于模糊PID控制的多电机同步控制研究与实现[D].成都:电子科技大学,2007
[6]杨长亮.基于模糊PID控制的燃气热水锅炉燃烧控制系统的研究[D].成都:电子科技大学,2010
[7]刘同召.基于模糊控制的雨花茶精揉机温度控制系统的研究[D].南京:南京农业大学,2009
[8]刘杰.卷接包工艺质量管理与控制研究[D].昆明:昆明理工大学,2007
[9]Yusuf Kaelan.integrated traction control with implementation of fuzzy logic controller[J].AVEC,2002,6:195-208
[10]P.J.King, E.H.Mamdani. The application of fuzzy control systems to industrial processes[J].Automatica,1997,13(3):235-242
[11]陈夕松,汪木兰.过程控制系统[M].北京:科学技术出版社,2005
[12]章卫国,杨向忠.模糊控制理论与应用[M].西安:西北工业大学出版社,2000.4
[13]陶永化.新型PID控制及其应用[M].北京:机械工业出版社,2002,17-49
[14]左婷.模糊PID控制中模糊控制规则的获取方法[D].长春:东北师范大学,2010
[15]陈崇明.基于模糊控制的PID算法的炉温控制器设计与仿真研究[D].武汉:武汉科技大学,2010
[16]陶永乐等编著.新型PID控制及其应用.北京:机械工业出版社
[17]李楠.PID控制参数现代化设计技术的研究与应用[D].杭州:浙江工业大学,2009
[18]曾光奇.模糊控制理论与工程应用[M].武汉:华中科技大学出版社,2006
[19]刘玉成,刘玉斌.自适应模糊控制在烧结炉系统中的应用[J].控制系统,2009(2):27-61
[20]丁海波.模糊控制的气动比例阀缸系统的位置控制[D].苏州:苏州大学,2009
[21]田峰,王欣,巩旭.实时监控技术在供水系统中的应用[J].电气时代,2006(12):8-12
[22]黄良沛,刘义伦.城市供水系统的优化调度与智能控制研究[D].长沙:中南大学,2005
[23]Mehmet Cunka, Omer Aydogdu. Realization of fuzzy logic controlled breushless DC motor drivers using Matlab/Simulink. Mathematical and Computational Applications, 2010(2):218-229.
[24][美]扎德L.A.著,陈国权译.模糊集合、语言变量及模糊逻辑.北京:科学出版社,2005.
[25]Hakki Murat Genc,Engin Yesil,Ibrahim Eksin,etal.A rule base modification scheme in fuzzy controllers for time-delay systems[J].Expert Systems with Applications,2009,36(4):8476-8486
[26]Huang Shoudao,Wei Yan,Lin Youjie,Wang Yaonan.Fuzzy.Based Power Factor Control for Brushless Doubly.fed Machines.In:Intelligent Control and Automation 2002.Proceedings of the 4th World Congress,2002,587-591.
[27]D.Zhou,R.Spee and G.C.Alexander,Experimental Evaluation of A Rotor Flux Oriented Control Algorithm for Brushless Doubly.Fed Machines[J],IEEE Trans.On PE.1997,12(1):72-78.
[28]Slootweg J.G.,de Haan S.W.H,Polinder H,Kling W.L.General Modal for Representing Variable Speed Wind Turbines in Power System Dynamics Simulations[J].IEEE Transactions on Power Systems,2003,1(18).
[29]Patel M.R.Wind and solar power systems.Boaca Raton[C].US:CRC Press,2000.
[30]P.Cominos,N.Munro.PID controllers:recent tuning methods and design to specification[J].IEEE Proc-Control Theory Appl,2002,149(1):46-53.
[31]I.J.Gyongy,D.W.Clarke.On the automatic tuning and adaptation of PID controllers[J].Control Engineering Practice,2006,14(2):149-163.
[32]Wei-Der Chang.A multi-crossover genetic approach to multivariable PIDcontrollers tuning[J].Expert Systems with Applications,2007,33(3): 620-626.
[33]E.Yeril,M.Guzelkaya,Eksin.Self tuning fuzzy PID type load and frequency controller[J].Energy Conversion and Management,2004,45(3):377-390.
[34]M.Guzelkaya,Eksin,E.Yeil.Self-tuning of PID-type fuzzy logic controller oefficients via relative rate observer[J].Engineering Applications of Artificial Intelligence,2003,16(3):227-236.
[35]L.Rezenik,Ghanayem,A.Bourmistrov.PID Plus Fuzzy Controller Structures as a Design Base of Industrial Applications[J].Engineering Application of ArtificialIntel ligence,2000,13(4):419-430.
[36]Hongxing Zou,etal.Parametric TFR via windowed exponential frequency modulated atoms[J].IEEE Signal Processing Letters,2001,8(5):140-142.
[37]C.Elkan,Hrberenji.The Paradoxical Success of Fuzzy Logic.IEEE Expert,1994.
[38]诸静.模糊控制理论与系统原理[M].北京:机械工业出版社,2005.
[39]Sun Ming,Study of Fuzzy PID Control,Computer Application,2004,4:51-53.
[40]王吉龙.基于模糊PID的温度控制系统.计算机与自动化技术,2008,5,34(5).77-79.
[41]Ang K H,Chong G,Li Yun.PID control system analysis design and technol-ogy.IEEE Transactions on Control Systems Technology.2005,13(4):599.
[42]刘金琨.先进PID控制MATLAB仿真(第二版).北京:电子工业出版社,2004.
[43]Astrom K J,Hagglund T.Revisiting the Ziegler-Nichols step response methodfor PID control Journal of Process Control.2004,14(6):635-650.
[44]Bevrani H,Hiyama T.PI/PID based multi-objective control design:an ILMI approach.In proceedings of IEEE International Conference of Networking, Sensing and Control.Arizona, 2005.750-755.
[45]Masami Saeki.Fixed structure PID controller design for standard H control problem.Automatica.2006,42(1):93-100.
[46]蔡自兴.智能控制-基础与应用[M].北京:国防工业出版社,1998.
[47]孙泽勇.自适应PID在过程控制中的应用研究[M].成都:四川大学出版社,2003.
[48]桑金阳.组合风力送丝优化控制研究.南华大学硕士学位论文,2005.
[49]Li Shiyong.Fuzzy Control[M].Nenurocontrol and Intelligent Cabernetics. Harbin:Harbin Institute of Technology Press,1998,314-321.