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Repetitive control approach towards automatic tuning of Smith predictor controllers

Lookup NU author(s): Dr Suixian Yang, Dr Ming Tham


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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 experiment results will be furnished to illustrate the effectiveness of the proposed tuning method. (C) 2008 ISA. Published by Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Tan KK, Chua KY, Zhao S, Yang S, Tham MT

Publication type: Article

Publication status: Published

Journal: ISA Transactions

Year: 2009

Volume: 48

Issue: 1

Pages: 16-23

ISSN (print): 0019-0578

ISSN (electronic): 1879-2022

Publisher: Elsevier Inc.


DOI: 10.1016/j.isatra.2008.10.002


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