基于PLC及OPC通信的模糊PID控制实现
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摘要
在烟草生产和加工领域的过程控制中,由于变量日趋多样化及复杂的外部执行环境,传统PID控制器暴露出其自身特有的局限性,有必要引入参数值在线实时调节功能。提出了基于OPC通信的模糊PID控制策略,基础PID控制算法经初步优化,通过编程在PLC上得以实现;基于OPC服务在底层与上位机之间产生数据交互,由上位机完成模糊推理过程,产生修正值并反馈PLC,有效结合了PLC的输出控制优势和上位机的复杂运算能力,从而实现参数的实时调整。试验结果表明,PID改良型控制器在稳态误差相同的情况下,调节时间较传统的PID控制器显著减少,并彻底消除超调现象,在高精度控制领域具有显著的推广意义。
In the process control of tobacco production and processing,the traditional PID controller exposes its own limitations due to the increasingly diversified variables and complex external execution environment. It is necessary to introduce real-time online parameter adjustment function. Fuzzy PID control strategy based on OPC communication is proposed. The basic PID control algorithm is optimized and realized on PLC by programming. Based on OPC service,data interaction is generated between the bottom and the upper computer. The upper computer completes the process of fuzzy reasoning,generates correction values and feeds back to the PLC. It effectively combines the advantages of the output control of the PLC and the complex operation ability of the upper computer,thus realizing the realtime adjustment of parameters. The experimental results show that,under the same steady-state error,the adjusting time of the improved PID controller is significantly shorter than that of the traditional PID controller,and the overshoot phenomenon is completely eliminated,which has significant promotion significance in the field of high-precision control.
In the process control of tobacco production and processing,the traditional PID controller exposes its own limitations due to the increasingly diversified variables and complex external execution environment. It is necessary to introduce real-time online parameter adjustment function. Fuzzy PID control strategy based on OPC communication is proposed. The basic PID control algorithm is optimized and realized on PLC by programming. Based on OPC service,data interaction is generated between the bottom and the upper computer. The upper computer completes the process of fuzzy reasoning,generates correction values and feeds back to the PLC. It effectively combines the advantages of the output control of the PLC and the complex operation ability of the upper computer,thus realizing the realtime adjustment of parameters. The experimental results show that,under the same steady-state error,the adjusting time of the improved PID controller is significantly shorter than that of the traditional PID controller,and the overshoot phenomenon is completely eliminated,which has significant promotion significance in the field of high-precision control.
引文
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[16]柏辉.基于模糊控制的铝缸体液面加压系统设计[D].长春:吉林大学,2008:10-12.
[17]宁海峰.参数模糊自整定PID控制器的研制[D].厦门:华侨大学,2006:31-33.
[18]吕俊.基于OPC的PLC在线PID模糊自整定系统[J].轻工机械,2013,31(2):35-39.
[19]刘金琨.先进PID控制MATLAB仿真[M].2版.北京:电子工业出版社,2004.
[20]刘晨希.多轴数控机床轮廓误差模型及耦合控制方法研究[D].淄博:山东理工大学,2015:31.
[21]黄文鑫.仪表工问答[M].北京.化学工业出版社,2013,8(3):174-176.
[2]颜永民.自适应模糊PID控制器的研究[J].建筑热能通风空调,2014,33(1):29-32
[3]蒋慰孙,俞金寿.过程控制工程[M].北京:中国石化出版社,1999.
[4]程启建.模糊自整定PID控制器的研究及应用[D].西安:西安工业大学,2016:9-12.
[5]范玉涛.基于PID神经网络的液压AGC辊缝控制[D].哈尔滨:哈尔滨理工大学,2010:24.
[6]Katsuhiko Ogata.现代控制工程[M].陆伯英,译.3版.北京:电子工业出版社,2000:3.
[7]齐柳.基于ITAE指标等概率分布的PID参数整定[D].南昌:南昌航空大学,2015:11-13.
[8]王晓冲.模糊参数自整定PID温控系统的设计与研究[D].长沙:中南大学,2007:48-49.
[9]李油生.可编程控制器(PLC)技术在煤矿机电的应用[J].科技与创新,2014,13(9):56-57.
[10]戴如俊.基于规则的模糊控制器的改进[D].哈尔滨:哈尔滨理工大学,2007:29-31.
[11]Kaya I,Tan N,Atherton D P.A refinement procedure for PIDcontrollers[J].Electrical Engineering,2006,88(3):215-221.
[12]吕长明.稻壳焙烧炉模糊PID温控系统方案的研究[D].大连:大连交通大学,2008:16.
[13]宋晶.基于不完全微分的单神经元自适应PID控制器研究与应用[D],厦门:华侨大学,2006:15-18.
[14]陶永华.新型PID控制及其应用[M].北京:机器工业出版社,2003.
[15]方睿尧.模糊自整定PID控制在锅炉汽温系统中的仿真研究[D].阜新:辽宁工程技术大学,2017:25.
[16]柏辉.基于模糊控制的铝缸体液面加压系统设计[D].长春:吉林大学,2008:10-12.
[17]宁海峰.参数模糊自整定PID控制器的研制[D].厦门:华侨大学,2006:31-33.
[18]吕俊.基于OPC的PLC在线PID模糊自整定系统[J].轻工机械,2013,31(2):35-39.
[19]刘金琨.先进PID控制MATLAB仿真[M].2版.北京:电子工业出版社,2004.
[20]刘晨希.多轴数控机床轮廓误差模型及耦合控制方法研究[D].淄博:山东理工大学,2015:31.
[21]黄文鑫.仪表工问答[M].北京.化学工业出版社,2013,8(3):174-176.