[1]费正顺,黄炳强.基于动态主元分析的控制系统性能评价方法[J].浙江科技学院学报,2015,(03):197-202.[doi:10.3969/j.issn.1671-8798.2015.03.008]
　FEI Zhengshun,HUANG Bingqiang.Assessment approach to control system performance based on DPCA[J].,2015,(03):197-202.[doi:10.3969/j.issn.1671-8798.2015.03.008]
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基于动态主元分析的控制系统性能评价方法()
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《浙江科技学院学报》[ISSN:1001-3733/CN:61-1062/R]

卷:
期数:
2015年03期
页码:
197-202
栏目:
出版日期:
2015-05-27

文章信息/Info

Title:
Assessment approach to control system performance based on DPCA
文章编号:
1671-8798(2015)03-0197-06
作者:
费正顺; 黄炳强
浙江科技学院 自动化与电气工程学院， 杭州 310023
Author(s):
FEI Zhengshun;  HUANG Bingqiang
School of Automation and Electrical Engineering, Zhejiang University of Science and Technology,Hangzhou 310023, China)
关键词:
性能评价; 最小方差控制; 动态主元分析; 控制系统
分类号:
TP277
DOI:
10.3969/j.issn.1671-8798.2015.03.008
文献标志码:
A
摘要:
基于最小方差的性能评价通常存在需预知过程模型结构、计算繁杂、难于拓展至多变量系统及最小方差控制可达性弱等问题，提出了一种基于动态主元分析(DPCA)的最小方差性能评价方法。该方法将动态主元分析方法应用到最小方差控制性能评价中，能够结合最小方差评价和动态主元分析的优势。改进后的指标可以用来评价系统控制性能，便于实现在线监控和故障诊断。通过仿真实例，验证了所提出的方法的有效性和优越性。

参考文献/References:

［1］Ender D. Process control performance: Not as good as you think［J］. Control Engineering,1993(9):180-190.
［2］Rinehart N, Jury F. How control valves impact process optimization［J］. Hydrocarbon Processing,1997,76(6):53-61.
［3］Huang B, Shah S L. Practical issues in multivariable feedback control performance assessment［J］. Journal of Process Control,1998,8(5):421-430.
［4］Harris T J. Assessment of control loop performance［J］. The Canadian Journal of Chemical Engineering,1989,67(5):856-861.［5］Desborough  L, Harris T. Performance assessment measures for univariate feedback control［J］. The Canadian Journal of Chemical Engineering,1992,70(6):1186-1197.
［6］Ko B S, Edgar T F. PID control performance assessment: The single-loop case［J］. AIChE Journal,2004,50(6):1211-1218.
［7］Sendjaja A Y, Kariwala V. Achievable PID performance using sums of squares programming［J］. Journal of Process Control,2009,19(6):1061-1065.
［8］Yu  W, Wilson D I, Young B R. Nonlinear control performance assessment in the presence of valve stiction［J］. Journal of Process Control,2010,20(6):754-761.
［9］Harris T J, Boudreau F, Macgregor J F. Performance assessment of multivariable feedback controllers［J］. Automatica,1996,32(11):1505-1518.
［10］Yuan Q, Lennox B, McEwan M. Analysis of multivariable control performance assessment techniques［J］. Journal of Process Control,2009,19(5):751-760.
［11］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.
［12］Huang B, Ding S X, Thornhill N. Alternative solutions to multi-variate control performance assessment problems［J］. Journal of Process Control,2006,16(5):457-471.
［13］Harris T J, Seppala C T, Desborough L D. A review of performance monitoring and assessment techniques for univariate and multivariate control systems［J］. Journal of Process Control,1999,9(1):1-17.
［14］Ku W, Storer R H, Georgakis C. Disturbance detection and isolation by dynamic principal component analysis［J］. Chemometrics and Intelligent Laboratory Systems,1995,30(1):179-196.
［15］Li W, Qin S J. Consistent dynamic PCA based on errors-in-variables subspace identification［J］. Journal of Process Control,2001,11(6):661-678.

备注/Memo

备注/Memo:
收稿日期: 2015-02-04
基金项目: 浙江省自然科学基金项目(LQ15F030006);浙江省教育厅科研计划项目(Y201431412);浙江科技学院学科交叉预研专项项目(2014JC04Y)
作者简介: 费正顺(1984—   ),男,浙江省浦江人,讲师,博士,主要从事系统建模与最优控制研究。
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