神经网络专家系统在脱硫控制系统中的应用
|
摘要
顺序控制是电厂各系统主要控制手段之一,它的连贯进行,要求各步的完成信号(主要是设备状态反馈信号)及时、无误地送达,否则将导致步序中断等控制故障。但是,通讯故障、卡件坏点或逻辑坏点等意外事件都有可能导致反馈信号不能及时到位。神经网络与专家系统是两种技术较成熟、应用较广泛的智能控制手段,神经网络专家系统结合两者之长,已被成功地应用于许多领域中。本文利用神经网络专家系统分析设备状态,使控制系统能够不直接依赖状态信号而获知设备状态。并结合实际,利用OPC通讯技术,实现本系统与PLC的实时通讯。最后,通过修改PLC控制逻辑,将预测所得状态值用于系统控制。
SCS is one of the most important methods of power plants control systems. In order to run consistently, the signal should be transmitted accurately and quickly. Otherwise, it will lead to some control fault, such as step interrupted. But, many mistakes, such as communication fault, device fault or logic fault, make the feedback signal transmitted incorrectly. Both neural network and expert system are well-developed control means and were used widely. The neural network expert system combining neural networks and expert systems advantage, was applied in many areas successfully. In this paper, by using neural network expert system analysis device status, we have a new way to get the device status other than direct signals. The use of OPC technology,real-time communication between eural network expert system and PLC was achieved. At last, by modifying control logic, the value forecasted by eural network participate in control.
SCS is one of the most important methods of power plants control systems. In order to run consistently, the signal should be transmitted accurately and quickly. Otherwise, it will lead to some control fault, such as step interrupted. But, many mistakes, such as communication fault, device fault or logic fault, make the feedback signal transmitted incorrectly. Both neural network and expert system are well-developed control means and were used widely. The neural network expert system combining neural networks and expert systems advantage, was applied in many areas successfully. In this paper, by using neural network expert system analysis device status, we have a new way to get the device status other than direct signals. The use of OPC technology,real-time communication between eural network expert system and PLC was achieved. At last, by modifying control logic, the value forecasted by eural network participate in control.
引文
[1]李友平,尹华强,刘勇军,等.烟气脱硫技术评价方法现状及展望.第二届全国脱硫学术会论文集 .广州:2003.11,459～464
[2]郭予超.我国火电厂烟气脱硫现状及展望.华东电力,2001,9:4～6
[3]国家环境保护总局.国务院关于两控区酸雨和二氧化硫污染防治“十五”计划的批复
[4]黄红艳,陈华东. 2×300MW机组湿法烟气脱硫控制系统的应用与分析. 华东电力,2005,(10) :56～58
[5]皮壮行,宫振鸣,李雪华等.可编程控制器的系统设计与应用实例.北京:机械工业出版社,2002.12～44
[6]周峰,王新华.软 PLC 编辑系统的设计与实现.计算机工程与应用,2005(7):111～113
[7] Jiri Koziorek,Lenka Landryova. Softplcs and Their Using in Control Applications. The 5th IFACW Workshop on Programmable Devices And Systems.2001,Nov:22～23
[8] Ed Brinksma,Angelika Mader,Ansgar Fehnker. Verification and optimization of a PLC control schedule. International Journal on Software Tools for Technology Transfer (STTT). Vol.4,2002(1):21～33
[9] A.Ramirez-Serrano,S.C.Zhu,S.K.H.Chan,etal. A hybrid PC/PLC architecture for manufacturing-sysytem control-theory and implementation. Journal of Intelligent Manufacturing. Vol.13,2002(4):261～281
[10] 施耐德. 使用 Unity Pro 的 Quantum 专家和通讯参考手册(中文).施耐德(中国)有限公司,2006,6:15～32
[11]阎维平,刘忠,王春波,等.电站燃煤锅炉石灰石湿法烟气脱硫装置运行与控制.北京:中国电力出版社,2005.
[12]戈黎红,王琳. 提高烟气脱硫DCS控制水平的方法. 发电设备,2006,(3):211～213
[13]戴丽萍,赵云格. DCS 在电厂燃煤机组烟气脱硫工程中的应用.应用技术,2006(10):7～8
[14]廉师友.人工智能技术导论.西安:西安电子科技大学出版社,2000.164～165
[15]尹朝庆,尹皓.人工智能与专家系统. 北京:中国水利水电出版社,2002.78～81
[16]魏海坤.神经网络结构设计的理论与方法.北京:国防工业出版社,2005.55～56
[17]闻新,周露.MATLAB 神经网络应用设计. 北京:科学出版社,2000.182～184
[18]Antory Brown. Neural network Analysis and Application.ISBN,1997,8(12) :15～17
[19] T .Poggio. Networks for approximation and learning. Proc.of IEEE,1990,78(9) :29～31
[20]施阳,李俊. MATLAB 语言工具箱. 西安:西北工业大学出版社,1998.143～149
[21]郑丽敏.人工智能与专家系统原理及其应用.北京:中国农业大学出版社,2004.88～96
[22]张毅,王红.一个基于神经网络故障诊断专家系统研究.测控技术,2004,23(11):55～57
[23]尹朝庆,尹皓.人工智能与专家系统. 北京:中国水利水电出版社,2001.
[24]贺海晖.人工神经网络专家系统在门窗选型中的应用.微计算机信息(管控一体化),2006,22(12) :202～228
[25]胡英俊.基于 BP 神经网络的煤层自燃预测.安全与环境学报,2007(2):125～128
[26]Mattthew Zeidenberg. Neural Network Models in Artificial Intelligence. New York,May 1990
[27]陈伟.基于 MATLAB 的 BP 人工神经网络设计. 电脑学习,2005(2) :30～31
[28]孔火良,金保生.燃煤火电厂烟气脱硫主要工艺.环境技术,2000,1(4):15～20
[29]李守信,纪立国,于军玲,等.石灰石-石膏湿法烟气脱硫工艺原理.华北电力大学学报,2002,29(4):91～94
[30]何育东.重庆发电厂 2×200MW机组湿法烟气脱硫工艺流程分析. 电力环境保护,2001,17(4):9～12
[31]何育东,廖永进.连州电厂石灰石/石膏湿法烟气脱硫系统的工艺流程分析. 电力环境保护,2001,17(2):11～13
[32]YOSHIO NAKAYAMA,NOBUO KOJIMA,TSUYOSHIOISHI,etc. Advanced Technology of Flue Gas Desulfurization(FGD). Mitsubishi Heavy Industies,Ltd. Technical Review, 2004,41(4):1～4
[33]梁庚,牛玉广,陈雪松.OPC——过程控制中的对象链接与嵌入技术.电力情报,2000(4):55～58
[34]徐士信. 浅谈 OPC 技术及其应用.石油化工自动化,2000,(5):6～9
[35]苑明哲,王智,程尚军,等. OPC 技术在现场总线控制系统中的应用. 工业仪表与自动化装置,2000,(3):77～80
[36]薛定宇,陈阳泉. 基于 MATLAB/Simulink 的系统仿真技术与应用. 北京:清华大学出版社,2002.13～16
[37]刘志俭.MATLAB 应用程序接口用户指南. 北京:科学出版社,2000.133～141
[38]王常力,廖道文.集散控制系统的设计与应用.北京:清华大学出版社,1983,54～61
[39]张鑫.计算机分散控制系统.北京:水利电力出版社,1993,23～41
[40]肖大雏.火电厂计算机控制.北京:水利电力出版社,1995,65～69
[41]Charlotte Brogren,Hans T,Karlsson A.A Model for Prediction of Limestone Dissolution in Wet Flue Gas Desufurization Applications.Ind.Eng.Chem.Res.1997,36:3889～3897
[42] William R Hodson. How Fieldbus Will Affect DCS Architecture. Intech.1996.12(1):50～53
[2]郭予超.我国火电厂烟气脱硫现状及展望.华东电力,2001,9:4～6
[3]国家环境保护总局.国务院关于两控区酸雨和二氧化硫污染防治“十五”计划的批复
[4]黄红艳,陈华东. 2×300MW机组湿法烟气脱硫控制系统的应用与分析. 华东电力,2005,(10) :56～58
[5]皮壮行,宫振鸣,李雪华等.可编程控制器的系统设计与应用实例.北京:机械工业出版社,2002.12～44
[6]周峰,王新华.软 PLC 编辑系统的设计与实现.计算机工程与应用,2005(7):111～113
[7] Jiri Koziorek,Lenka Landryova. Softplcs and Their Using in Control Applications. The 5th IFACW Workshop on Programmable Devices And Systems.2001,Nov:22～23
[8] Ed Brinksma,Angelika Mader,Ansgar Fehnker. Verification and optimization of a PLC control schedule. International Journal on Software Tools for Technology Transfer (STTT). Vol.4,2002(1):21～33
[9] A.Ramirez-Serrano,S.C.Zhu,S.K.H.Chan,etal. A hybrid PC/PLC architecture for manufacturing-sysytem control-theory and implementation. Journal of Intelligent Manufacturing. Vol.13,2002(4):261～281
[10] 施耐德. 使用 Unity Pro 的 Quantum 专家和通讯参考手册(中文).施耐德(中国)有限公司,2006,6:15～32
[11]阎维平,刘忠,王春波,等.电站燃煤锅炉石灰石湿法烟气脱硫装置运行与控制.北京:中国电力出版社,2005.
[12]戈黎红,王琳. 提高烟气脱硫DCS控制水平的方法. 发电设备,2006,(3):211～213
[13]戴丽萍,赵云格. DCS 在电厂燃煤机组烟气脱硫工程中的应用.应用技术,2006(10):7～8
[14]廉师友.人工智能技术导论.西安:西安电子科技大学出版社,2000.164～165
[15]尹朝庆,尹皓.人工智能与专家系统. 北京:中国水利水电出版社,2002.78～81
[16]魏海坤.神经网络结构设计的理论与方法.北京:国防工业出版社,2005.55～56
[17]闻新,周露.MATLAB 神经网络应用设计. 北京:科学出版社,2000.182～184
[18]Antory Brown. Neural network Analysis and Application.ISBN,1997,8(12) :15～17
[19] T .Poggio. Networks for approximation and learning. Proc.of IEEE,1990,78(9) :29～31
[20]施阳,李俊. MATLAB 语言工具箱. 西安:西北工业大学出版社,1998.143～149
[21]郑丽敏.人工智能与专家系统原理及其应用.北京:中国农业大学出版社,2004.88～96
[22]张毅,王红.一个基于神经网络故障诊断专家系统研究.测控技术,2004,23(11):55～57
[23]尹朝庆,尹皓.人工智能与专家系统. 北京:中国水利水电出版社,2001.
[24]贺海晖.人工神经网络专家系统在门窗选型中的应用.微计算机信息(管控一体化),2006,22(12) :202～228
[25]胡英俊.基于 BP 神经网络的煤层自燃预测.安全与环境学报,2007(2):125～128
[26]Mattthew Zeidenberg. Neural Network Models in Artificial Intelligence. New York,May 1990
[27]陈伟.基于 MATLAB 的 BP 人工神经网络设计. 电脑学习,2005(2) :30～31
[28]孔火良,金保生.燃煤火电厂烟气脱硫主要工艺.环境技术,2000,1(4):15～20
[29]李守信,纪立国,于军玲,等.石灰石-石膏湿法烟气脱硫工艺原理.华北电力大学学报,2002,29(4):91～94
[30]何育东.重庆发电厂 2×200MW机组湿法烟气脱硫工艺流程分析. 电力环境保护,2001,17(4):9～12
[31]何育东,廖永进.连州电厂石灰石/石膏湿法烟气脱硫系统的工艺流程分析. 电力环境保护,2001,17(2):11～13
[32]YOSHIO NAKAYAMA,NOBUO KOJIMA,TSUYOSHIOISHI,etc. Advanced Technology of Flue Gas Desulfurization(FGD). Mitsubishi Heavy Industies,Ltd. Technical Review, 2004,41(4):1～4
[33]梁庚,牛玉广,陈雪松.OPC——过程控制中的对象链接与嵌入技术.电力情报,2000(4):55～58
[34]徐士信. 浅谈 OPC 技术及其应用.石油化工自动化,2000,(5):6～9
[35]苑明哲,王智,程尚军,等. OPC 技术在现场总线控制系统中的应用. 工业仪表与自动化装置,2000,(3):77～80
[36]薛定宇,陈阳泉. 基于 MATLAB/Simulink 的系统仿真技术与应用. 北京:清华大学出版社,2002.13～16
[37]刘志俭.MATLAB 应用程序接口用户指南. 北京:科学出版社,2000.133～141
[38]王常力,廖道文.集散控制系统的设计与应用.北京:清华大学出版社,1983,54～61
[39]张鑫.计算机分散控制系统.北京:水利电力出版社,1993,23～41
[40]肖大雏.火电厂计算机控制.北京:水利电力出版社,1995,65～69
[41]Charlotte Brogren,Hans T,Karlsson A.A Model for Prediction of Limestone Dissolution in Wet Flue Gas Desufurization Applications.Ind.Eng.Chem.Res.1997,36:3889～3897
[42] William R Hodson. How Fieldbus Will Affect DCS Architecture. Intech.1996.12(1):50～53