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Title: Repetitive control approach towards automatic tuning of Smith predictor controllers
Authors: Tan, K.K. 
Chua, K.Y.
Zhao, S. 
Yang, S.
Tham, M.T.
Keywords: Automatic tuning
Process control
Repetitive control
Smith predictor controller
Time-delay systems
Issue Date: Jan-2009
Citation: Tan, K.K., Chua, K.Y., Zhao, S., Yang, S., Tham, M.T. (2009-01). Repetitive control approach towards automatic tuning of Smith predictor controllers. ISA Transactions 48 (1) : 16-23. ScholarBank@NUS Repository.
Abstract: This paper proposes a new method for automatic tuning of the Smith predictor controller based on a Repetitive Control (RC) approach. The method requires the input of a periodic reference signal which can be derived from a relay feedback experiment. A modified repetitive control scheme repetitively changes the control signal to achieve tracking error convergence. Once a satisfactory performance is achieved through the learning control, the parameters of the Smith predictor controller can be computed from the signals using a nonlinear least squares algorithm. The same relay feedback experiment can provide an initial parameter vector for an efficient implementation of the parameter estimation. Simulations and experimental results will be furnished to illustrate the effectiveness of the proposed tuning method. © 2008 ISA.
Source Title: ISA Transactions
ISSN: 00190578
DOI: 10.1016/j.isatra.2008.10.002
Appears in Collections:Staff Publications

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