期刊文献+

火电厂过热汽温控制系统性能评价 被引量:2

Estimate of Performance of Superheat Steam Temperature Control System in Thermal Power Plant
下载PDF
导出
摘要 以火电厂典型过热汽温控制系统为研究对象,推导了串级控制系统最小方差性能评价指标的计算方法,利用MATLAB平台搭建仿真模型,理论推导反馈不变项得到控制系统的最小方差;通过模型输出计算等价单回路PID控制器的最小方差和时间序列分析最小方差,结果表明等价单回路PID控制器的最小方差能够实现最小方差性能评价,并利用某电厂实际的正常运行数据对研究的结论进行了验证。 The typical power plant superheated steam temperature control system Used as research objects, which derived minimum variance cascade control system performance index is calculated, and using the MATLAB platform to build simulation models, theoretical derivation of the feedback control system of the same item are minimum variance; by Output of the model is equivalent to a single loop PID controller calculation of the minimum variance and minimum variance time series analysis, the results show that the equivalent single - loop PID controller to achieve minimum variance minimum variance performance evaluation, and use the actual running of a power plant data. The conclusions were validated.
出处 《电力科学与工程》 2011年第7期45-50,共6页 Electric Power Science and Engineering
关键词 PID最小方差 性能评价 时间序列 SIMULINK仿真 过热汽温 PID minimum variance performance evaluation time series simulink simul-ation superheated steam temperature
  • 相关文献

参考文献7

  • 1Astrom K J. Introduction to stochastic control theory [M]. New York: Academic Press, 1970.
  • 2Harris T J. Assessment of Control Loop Performance [ J ]. Can J Chem Eng, 1989, (67) : 856-861.
  • 3Qin s J. Control Performance Monitoring-A Review and As- sessment [ J ]. Comput ChemEng, 1998, (23) : 173 - 186.
  • 4Huang B, Shah S L. Performance Assessment of Control Loop : Theory and Applications [ M ]. London: Springer Verlag, 1999.
  • 5吕忠伟,秦建国.多变量时间序列模型识别方法[J].统计与决策,2007,23(2):129-131. 被引量:5
  • 6陈飞,杨马英,朱先桃.综合的多变量控制系统性能分析方法及应用实例[J].信息与控制,2004,33(4):463-467. 被引量:3
  • 7吴怀字.时间序列分析与综合[M].武汉:武汉大学出版社,2004.

二级参考文献19

  • 1Astrom K. Computer and control of a paper machine - an application of linear stochastic control theory [ J ]. IBM Journal of Research and Development, 1967,11 (4) :389 - 405.
  • 2DeVries W R, Wu S M. Evaluation of process control effectiveness and diagnosis of variation in paper basis weight via multivariate time series analysis [ J]. IEEE Transactions on Automatic Control,1978,23(4) :702 ~708.
  • 3Harris T, Boudreau F, MacGregor J F. Performance assessment of multivariable feedback controllers [ J]. Automatica, 1996,32( 1 ):1505 - 1518.
  • 4Huang B, Shah S L, Kwok K Y. Good, bad or optimal? Performance assessment of MIMO processes [ J ]. Automatica, 1997,33(6) :1175 - 1183.
  • 5Huang B, Shah S L, Fujii H. The unitary interactor matrix and its estimation using closed-loop data [ J ]. Journal of Processing Contro1,1997,7(3) :195 -207.
  • 6Shah S L, Patwardhan R, Huang B. Multivariate controller performance analysis: method, application and challenge [ J ]. AIChE Symposium Series, 2002,98 (326): 190 - 207.
  • 7Thomhill N F, Oettinger M, Fedencxuk P. Refinery-wide control loop performance assessment [ J ], Journal of Process Control,1999,9(2) :109 - 124.
  • 8杨马英 秦化淑 褚健.模型预测控制的性能监视与评价--综述[A].秦化淑,褚健.第21届中国控制会议论文集[C].杭州:浙江大学出版社,2002.253-259.
  • 9Akaike,H..A New Look at Statistical Model Identification[J].IEEE Transactions on Automatic Control,1974(19),716-723.
  • 10Schwarz, G..Estimating the Dimension of a Model [J].Annals of Statistics,1978(6)461-464.

共引文献7

同被引文献13

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部