Assessment of control loop performance
Tóm tắt
For processes described by linear transfer functions with additive disturbances, the best possible control in the mean square sense is realized when a minimum variance controller is implemented. It is shown that an estimate of the best possible control can be obtained by fitting a univariate time series to process data collected under routine control. No ‘identifiabüity’ constraints need be imposed. The use of this technique is demonstrated with pilot plant and production data.
Từ khóa
Tài liệu tham khảo
Astrom K. J., 1970, Introduction to Stochastic Control Theory
Astrom K. J., 1984, Computer Controlled Systems: Theory and Practice
Baillie R. T., 1979, “The Asymptotic Mean Squared Error of Multistep Prediction from the Regression Model with Autoregressive Errors”, Journal of the American Statistical Association, 74, 175, 10.1080/01621459.1979.10481635
Box G. E. P., 1976, “Parameter Estimation with Closed Loop Operating Data”, Technometrics, 18, 371, 10.1080/00401706.1976.10489467
Fuller W. A., 1981, “Properties of Predictors for Autoregressive Time Series”, Journal of the Americal Statistical Association, 75, 155, 10.1080/01621459.1981.10477622
Newton H. J., 1988, TIMESLAB: A Time Series Analysis Laboratory
Priestley M. G., 1981, Spectral Analysis and Time Series
Pryor C., 1982, “Autocovariance: Power Spectrum Analysis — Derive New Information from Process Data”, Control Eng., 2, 103