基于单值中智集的火电机组主蒸汽温度控制系统多属性性能评价
|
摘要
工业控制系统中采用单一运行数据对其进行性能评价的研究较多,采用多属性性能评价的研究较少。本文针对火电厂生产过程对主蒸汽温度控制系统控制品质的要求,提出一种基于单值中智集的火电机组主蒸汽温度控制系统多属性性能评价方法。首先,根据火电机组主蒸汽温度控制系统运行数据的多个属性值建立中智集决策矩阵;然后,基于每个属性提供的信息确定反映决策者意见的单值中智集决策矩阵,并通过加权平均算子将所有个体决策矩阵聚合为共同决策矩阵;最后,根据计算出的待评价控制方案与中智集正负理想解之间的欧式距离建立的相对贴近度函数的大小来评价各控制方案,并确定最优控制方案。仿真结果表明该评价方法有效合理且计算简单。
In the industrial control system, there are many researches on performance evaluation with single running data, and less on multi-attribute performance evaluation. Against the requirement of main steam temperature control system in production process of thermal power plants, a multi-attribute performance evaluation method for the main steam temperature control system of thermal power units based on the single-valued neutrosophic set is proposed. Firstly, the neutrosophic set decision matrix is established based on multiple attribute values of the operating data of the main steam temperature control system of thermal power units. Then, on the basis of the information provided by each attribute, a single-valued neutrosophic set decision matrix that reflects the opinions of the decision maker is determined, and all the individual decision matrixes are aggregated into a common decision matrix by a weighted average operator. Finally, each control scheme is evaluated based on the degree of the relative closeness function which is calculated based on the Euclidean distance between the calculated control plan and the positive and negative ideal solutions of the neutrosophic set,and the optimal control plan is determined. The simulation results show that the proposed method is effective and reasonable, and the calculation is simple.
In the industrial control system, there are many researches on performance evaluation with single running data, and less on multi-attribute performance evaluation. Against the requirement of main steam temperature control system in production process of thermal power plants, a multi-attribute performance evaluation method for the main steam temperature control system of thermal power units based on the single-valued neutrosophic set is proposed. Firstly, the neutrosophic set decision matrix is established based on multiple attribute values of the operating data of the main steam temperature control system of thermal power units. Then, on the basis of the information provided by each attribute, a single-valued neutrosophic set decision matrix that reflects the opinions of the decision maker is determined, and all the individual decision matrixes are aggregated into a common decision matrix by a weighted average operator. Finally, each control scheme is evaluated based on the degree of the relative closeness function which is calculated based on the Euclidean distance between the calculated control plan and the positive and negative ideal solutions of the neutrosophic set,and the optimal control plan is determined. The simulation results show that the proposed method is effective and reasonable, and the calculation is simple.
引文
[1]王茂海,赵玉江,齐霞,等.电网实际运行环境中相量测量装置性能在线评价方法[J].电力系统保护与控制,2015,43(6):86-92.WANG Maohai,ZHAO Yujiang,QI Xia,et al.Proposal of index for PMU field performance evaluation in actual operating environment[J].Power System Protection and Control,2015,43(6):86-92.
[2]HARRIS T.Assessment of closed loop performance[J].Canadian Journal of Chemical Engineering,1989,67(5):856-861.
[3]DESBOROUGH L,HARRIS T.Performance assessment measure for univariate feedback control[J].Canadian Journal of Chemical Engineering,1992,70(6):1186-1197.
[4]CHEN J,HUANG S C,YEA Y.Achievable performance assessment and design for Parallel cascade control systems[J].Journal of Chemical Engineering of Japan,2005,38(3):188-201.
[5]杨政厚,房方,刘吉臻.串级控制回路的性能评价方法[J].动力工程,2009,29(5):426-431.YANG Zhenghou,FANG Fang,LIU Jizhen.Performance assessment method for cascade control loop[J].Chinese Journal of Power Engineering,2009,29(5):426-431.
[6]张虹,徐滨,高健,等.基于最小方差基准的励磁系统性能评估[J].电力系统保护与控制,2014,42(8):54-58.ZHANG Hong,XU Bin,GAO Jian,et al.Performance assessment of excitation system based on minimum variance benchmark[J].Power System Protection and Control,2014,42(8):54-58.
[7]QIN S J,YU J.Recent developments in multivariable controller performance monitoring[J].Journal of Process Control,2007,17(3):221-227.
[8]YU J,QIN S J.Statistical MIMO controller performance monitoring,Part II:Performance diagnosis[J].Journal of Process Control,2008,18(3/4):297-319.
[9]田学民,史亚杰,曹玉苹.基于协方差指标预测的MPC实时性能监控[J].自动化学报,2013,39(5):658-663.TIAN Xuemin,SHI Yajie,CAO Yuping.Real-time performance monitoring of MPC based on covariance index prediction[J].Journal of Automation,2013,39(5):658-663.
[10]WANG Y,LI S,TIAN J,et al.Performance assessment of thermal power plant load control system based on covariance index[J].Control Engineering Practice,2016,54:58-69.
[11]ZHANG J,ZHANG L,CHEN J,et al.Performance assessment of cascade control loops with non-Gaussian disturbances using entropy information[J].Chemical Engineering Research&Design,2015,104:68-80.
[12]李士哲,王印松,张涛,等.基于时域指标的负荷控制系统性能评价[J].控制工程,2016,23(6):864-869.LI Shizhe,WANG Yinsong,ZHANG Tao,et al.Performance assessment of load control system based on time domain index[J].Control Engineering of China,2016,23(6):864-869.
[13]TAN K K,LEE T H,JIANG X.Robust on-line relay automatic tuning of PID control systems[J].ISATransactions,2000,39(2):219-232.
[14]严爱军,于远航.基于案例推理的PID控制器参数认知整定方法[J].信息与控制,2015,44(5):525-530.YAN Aijun,YU Yuanhang.Cognitive tuning method based on case-based reasoning for PID controller’s parameters[J].Information and Control,2015,44(5):525-530.
[15]齐良才,李宏光.基于数据驱动的控制器性能多属性评价方法[J].华东理工大学学报(自然科学版),2014,40(2):244-249.QI Liangcai,LI Hongguang.A multi-attribute assessment method of controller performance based on datadriven[J].Journal of East China University of Science and Technology(Natural Science Edition),2014,40(2):244-249.
[16]雷琪,颜慧,吴敏.基于多属性性能评估的焦炉加热燃烧过程在线优化控制方法[J].化工学报,2015,66(1):307-315.LEI Qi,YAN Hui,WU Min.An on-line optimal control method for combustion process of coke oven based on multi-attribute performance evaluation[J].CIESCJournal,2015,66(1):307-315.
[17]YU Z,WANG J.Performance assessment of static lead-lag feedforward controllers for disturbance rejection in PIDcontrol loops[J].ISA Transactions,2016,64:67-76.
[18]KO B S,EDGAR T F.Performance assessment of cascade control loops[J].Aiche Journal,2000,46(2):281-291.
[19]YU J,QIN S J.Statistical MIMO controller performance monitoring,part I:data-driven covariance benchmark[J].Journal of Process Control,2008,18(3/4):277-296.
[20]MASSIMILIANO V,ANTONIO V.Performance assessment and retuning of PID controllers for integral processes[J].Journal of Process Control,2010,20:261-269.
[21]BISWAS P,PRAMANIK S,GIRI B C.TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment[J].Neural Computing and Applications,2016,27(3):727-737.
[22]WANG H,SMARANDACHE F,ZHANG Y,et al.Single valued neutrosophic sets[J].Rev Air Force Acad,2010,17:4-10.
[23]王坚强,李新蛾.基于多值中智集的TODIM方法[J].控制与决策,2015,30(6):1139-1142.WANG Jianqiang,LI Xin’e.TODIM method based on multi valued Chi sets[J].Control and Decision,2015,30(6):1139-1142.
[24]LIU P,WANG Y.Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean[J].Neural Computing and Applications,2014,25(7/8):2001-2010.
[25]MAJUMDAR P,SAMANTA S K.On similarity and entropy of neutrosophic sets[J].Journal of Intelligent&Fuzzy Systems,2014,26(3):1245-1252.
[26]YE J.A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets[J].Journal of Intelligent&Fuzzy Systems,2014,26(5):2459-2466.
[27]DEZERT J.Open questions on neutrosophic inference[J].Multiple-Valued Logic,2002,8(3):439-472.
[28]LIANG G,LI W,LI Z.Control of superheated steam temperature in large-capacity generation units based on active disturbance rejection method and distributed control system[J].Control Engineering Practice,2013,21(3):268-285.
[2]HARRIS T.Assessment of closed loop performance[J].Canadian Journal of Chemical Engineering,1989,67(5):856-861.
[3]DESBOROUGH L,HARRIS T.Performance assessment measure for univariate feedback control[J].Canadian Journal of Chemical Engineering,1992,70(6):1186-1197.
[4]CHEN J,HUANG S C,YEA Y.Achievable performance assessment and design for Parallel cascade control systems[J].Journal of Chemical Engineering of Japan,2005,38(3):188-201.
[5]杨政厚,房方,刘吉臻.串级控制回路的性能评价方法[J].动力工程,2009,29(5):426-431.YANG Zhenghou,FANG Fang,LIU Jizhen.Performance assessment method for cascade control loop[J].Chinese Journal of Power Engineering,2009,29(5):426-431.
[6]张虹,徐滨,高健,等.基于最小方差基准的励磁系统性能评估[J].电力系统保护与控制,2014,42(8):54-58.ZHANG Hong,XU Bin,GAO Jian,et al.Performance assessment of excitation system based on minimum variance benchmark[J].Power System Protection and Control,2014,42(8):54-58.
[7]QIN S J,YU J.Recent developments in multivariable controller performance monitoring[J].Journal of Process Control,2007,17(3):221-227.
[8]YU J,QIN S J.Statistical MIMO controller performance monitoring,Part II:Performance diagnosis[J].Journal of Process Control,2008,18(3/4):297-319.
[9]田学民,史亚杰,曹玉苹.基于协方差指标预测的MPC实时性能监控[J].自动化学报,2013,39(5):658-663.TIAN Xuemin,SHI Yajie,CAO Yuping.Real-time performance monitoring of MPC based on covariance index prediction[J].Journal of Automation,2013,39(5):658-663.
[10]WANG Y,LI S,TIAN J,et al.Performance assessment of thermal power plant load control system based on covariance index[J].Control Engineering Practice,2016,54:58-69.
[11]ZHANG J,ZHANG L,CHEN J,et al.Performance assessment of cascade control loops with non-Gaussian disturbances using entropy information[J].Chemical Engineering Research&Design,2015,104:68-80.
[12]李士哲,王印松,张涛,等.基于时域指标的负荷控制系统性能评价[J].控制工程,2016,23(6):864-869.LI Shizhe,WANG Yinsong,ZHANG Tao,et al.Performance assessment of load control system based on time domain index[J].Control Engineering of China,2016,23(6):864-869.
[13]TAN K K,LEE T H,JIANG X.Robust on-line relay automatic tuning of PID control systems[J].ISATransactions,2000,39(2):219-232.
[14]严爱军,于远航.基于案例推理的PID控制器参数认知整定方法[J].信息与控制,2015,44(5):525-530.YAN Aijun,YU Yuanhang.Cognitive tuning method based on case-based reasoning for PID controller’s parameters[J].Information and Control,2015,44(5):525-530.
[15]齐良才,李宏光.基于数据驱动的控制器性能多属性评价方法[J].华东理工大学学报(自然科学版),2014,40(2):244-249.QI Liangcai,LI Hongguang.A multi-attribute assessment method of controller performance based on datadriven[J].Journal of East China University of Science and Technology(Natural Science Edition),2014,40(2):244-249.
[16]雷琪,颜慧,吴敏.基于多属性性能评估的焦炉加热燃烧过程在线优化控制方法[J].化工学报,2015,66(1):307-315.LEI Qi,YAN Hui,WU Min.An on-line optimal control method for combustion process of coke oven based on multi-attribute performance evaluation[J].CIESCJournal,2015,66(1):307-315.
[17]YU Z,WANG J.Performance assessment of static lead-lag feedforward controllers for disturbance rejection in PIDcontrol loops[J].ISA Transactions,2016,64:67-76.
[18]KO B S,EDGAR T F.Performance assessment of cascade control loops[J].Aiche Journal,2000,46(2):281-291.
[19]YU J,QIN S J.Statistical MIMO controller performance monitoring,part I:data-driven covariance benchmark[J].Journal of Process Control,2008,18(3/4):277-296.
[20]MASSIMILIANO V,ANTONIO V.Performance assessment and retuning of PID controllers for integral processes[J].Journal of Process Control,2010,20:261-269.
[21]BISWAS P,PRAMANIK S,GIRI B C.TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment[J].Neural Computing and Applications,2016,27(3):727-737.
[22]WANG H,SMARANDACHE F,ZHANG Y,et al.Single valued neutrosophic sets[J].Rev Air Force Acad,2010,17:4-10.
[23]王坚强,李新蛾.基于多值中智集的TODIM方法[J].控制与决策,2015,30(6):1139-1142.WANG Jianqiang,LI Xin’e.TODIM method based on multi valued Chi sets[J].Control and Decision,2015,30(6):1139-1142.
[24]LIU P,WANG Y.Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean[J].Neural Computing and Applications,2014,25(7/8):2001-2010.
[25]MAJUMDAR P,SAMANTA S K.On similarity and entropy of neutrosophic sets[J].Journal of Intelligent&Fuzzy Systems,2014,26(3):1245-1252.
[26]YE J.A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets[J].Journal of Intelligent&Fuzzy Systems,2014,26(5):2459-2466.
[27]DEZERT J.Open questions on neutrosophic inference[J].Multiple-Valued Logic,2002,8(3):439-472.
[28]LIANG G,LI W,LI Z.Control of superheated steam temperature in large-capacity generation units based on active disturbance rejection method and distributed control system[J].Control Engineering Practice,2013,21(3):268-285.
© 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 |