[1]张雨飞,陈霈,苏志刚,等.大纯滞后对象多变量系统的改进ERGA配对方法[J].东南大学学报(自然科学版),2012,42(5):880-885.[doi:10.3969/j.issn.1001-0505.2012.05.016]
 Zhang Yufei,Chen Pei,Su Zhigang,et al.ERGA pairing criterion for multivariable processes with large time delay[J].Journal of Southeast University (Natural Science Edition),2012,42(5):880-885.[doi:10.3969/j.issn.1001-0505.2012.05.016]
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大纯滞后对象多变量系统的改进ERGA配对方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第5期
页码:
880-885
栏目:
自动化
出版日期:
2012-09-20

文章信息/Info

Title:
ERGA pairing criterion for multivariable processes with large time delay
作者:
张雨飞 陈霈 苏志刚 贺华杰 吕剑虹
东南大学能源热转换及其过程测控教育部重点实验室,南京 210096; 东南大学能源与环境学院,南京 210096
Author(s):
Zhang Yufei Chen Pei Su Zhigang He Huajie Lü Jianhong
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
School of Energy and Environment, Southeast University, Nanjing 210096, China
关键词:
改进ERGA 变量配对 关联性评价 大纯滞后
Keywords:
improved effective relative gain array variable pairing interaction measures large time delay
分类号:
TP273
DOI:
10.3969/j.issn.1001-0505.2012.05.016
摘要:
针对效能相对增益矩阵(ERGA)在大纯滞后对象变量配对中存在的问题,提出利用纯滞后时间τ和时间常数Tc的相对大小来形成纯滞后矩阵,并对带宽矩阵进行加权修正,得到改进的ERGA配对方法.通过工程实例对ERGA和改进ERGA配对方法进行了仿真对比,结果证明,在含有大纯滞后对象的系统中,由于改进的ERGA配对方法采用纯滞后矩阵对带宽矩阵进行了修正,减小了含大纯滞后对象配对的可能性,因此能更全面地反映对象动态特性,得到更加合理的配对结果.改进ERGA配对方法能全面反映对象的动态特性,因此在大纯滞后对象的MIMO系统变量配对中有着广阔的应用前景.
Abstract:
In order to solve the problems while using the effective relative gain array(ERGA)to pair variables in the systems with large time delay, using the relative size of the time-delay τ and the time constant Tc to form the time delay matrix, and making weighted modification to the bandwidth matrix, an improved ERGA pairing criterion is given. Some engineering examples were used to compare ERGA with improved ERGA criterion. The simulation shows that in systems with large time delay, since the improved ERGA pairing takes the pure delay matrix to modify the bandwidth matrix, the possibility of pairing with large delay is reduced, and therefore the dynamic characteristics of the objects can be fully reflected and the matching results are more reasonable. The improved ERGA pairing criterion has broad application prospects in variable pairing for multi-input multi-output(MIMO)system with large time delay.

参考文献/References:

[1] Bristol E H.On a new measure of interactions for multivariable process control[J].IEEE Trans on Automatica Control,1966,11(1):133-134.
[2] Witcher M F,Mc Avoy T J.Interacting control systems:steady state and dynamic measurement of interaction[J].ISA Transactions,1977,16(3):35-41.
[3] Mc Avoy Thomas,Arkun Yaman,Chen Rong,et al.A new approach to defining a dynamic relative gain[J].Control Engineering Practice,2003,11(8):907-914.
[4] Gagnepain J P,Seborg D E.Analysis of process interactions with applications to multiloop control system design[J].Industrial and Engineering Chemistry,Process Design and Development,1982,21(1):5-11.
[5] Zhu Z X.Variable pairing selection based on individual and overall interaction measures[J].Industrial and Engineering Chemistry Research,1996,35(11):4091-4099.
[6] Kookos I K,Lygeros A I.An algorithmic method for control structure selection based on the RGA and RIA interaction measures[J].Chemical Engineering Research and Design,1998,76(4):458-464.
[7] 叶凌箭,宋执环.多变量控制系统的一种变量配对方法[J].控制与决策,2009,24(12):1795-1800.
  Ye Lingjian,Song Zhihuan.Variable pairing method for multivariable control systems[J].Control and Decision, 2009,24(12):1795-1800.(in Chinese)
[8] Xiong Qiang,Cai Wenjian,He Maojun.A practical loop pairing criterion for multivariable processes[J].Journal of Process Control, 2005,15(7):741-747.
[9] Xiong Qiang,Cai Wenjian,He Maojun,et al.Decentralized control system design for multivariable processes—a novel method based on effective relative gain array[J].Industrial and Engineering Chemistry, 2006,45(8):2769-2776.
[10] Niederlinski A.A heuristic approach to the design of linear multivariable interacting subsystems[J].Automatica, 1971,7(6):691-701.
[11] Xiong Qiang,Cai Wenjian.Effective tranfer function method for decentralized control system design of multi-input multi-output processes[J].Journal of Process Control, 2006,16(8):773-784.
[12] Bao J,Chen K H,Zhang W Z,et al.An experimental pairing method for multi-loop control based on passivity[J].Journal of Process Control, 2007,17(10):1101-1110.
[13] 叶琼瑜.化工过程多变量系统的PID控制研究[D].北京:北京化工大学信息科学与技术学院, 2008.
[14] 郝勇生.大型循环流化床锅炉建模和先进控制方法研究[D].南京:东南大学能源与环境学院,2009.

备注/Memo

备注/Memo:
作者简介: 张雨飞(1963—),女,副教授,zhangyufly@seu.edu.cn.
引文格式: 张雨飞,陈霈,苏志刚,等:大纯滞后对象多变量系统的改进ERGA配对方法[J].东南大学学报:自然科学版,2012,42(5):880-885. [doi:10.3969/j.issn.1001-0505.2012.05.016]
更新日期/Last Update: 2012-09-20