Repetitive control approach towards automatic tuning of smith predictor controllers. Tan, K. K., Chua, K. Y., Zhao, S., Yang, S., & Tham, M. T. ISA Trans., 48(1):16–23, 2009.
Repetitive control approach towards automatic tuning of smith predictor controllers [link]Paper  doi  abstract   bibtex   
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.
@Article{SCC.Tan.Chua.ea2009,
  author    = {Tan, Kok Kiong and Chua, Kok Yong and Zhao, Shao and Yang, Su and Tham, Ming Tan},
  title     = {Repetitive control approach towards automatic tuning of smith predictor controllers},
  journal   = {ISA Trans.},
  year      = {2009},
  volume    = {48},
  number    = {1},
  pages     = {16--23},
  issn      = {0019-0578},
  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.},
  doi       = {10.1016/j.isatra.2008.10.002},
  owner     = {Rushikesh},
  timestamp = {2010.05.07},
  url       = {http://www.sciencedirect.com/science/article/B6V3P-4TWSWSR-2/2/55e163edac43718bb775a3124adf94ae},
}

Downloads: 0