“PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models”

Authors: Christer Dalen and David Di Ruscio,
Affiliation: University of South-Eastern Norway
Reference: 2017, Vol 38, No 4, pp. 185-197.

Keywords: PD and PID controllers, tuning, double integrating system, time delay, maximum time delay error, relative time delay margin, robustness, performance, Pareto Optimal

Abstract: A model reduction technique based on optimization theory is presented, where a possible higher order system/model is approximated with an unstable DIPTD model by using only step response data. The DIPTD model is used to tune PD/PID controllers for the underlying possible higher order system. Numerous examples are used to illustrate the theory, i.e. both linear and nonlinear models. The Pareto Optimal controller is used as a reference controller.

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DOI forward links to this article:
[1] Christer Dalen and David Di Ruscio (2018), doi:10.4173/mic.2018.1.4
[2] A. Hanif Halim and I. Ismail (2018), doi:10.1007/s00521-018-3588-9
[3] Christer Dalen and David Di Ruscio (2018), doi:10.4173/mic.2018.4.4
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BibTeX:
@article{MIC-2017-4-3,
  title={{PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models}},
  author={Dalen, Christer and Di Ruscio, David},
  journal={Modeling, Identification and Control},
  volume={38},
  number={4},
  pages={185--197},
  year={2017},
  doi={10.4173/mic.2017.4.3},
  publisher={Norwegian Society of Automatic Control}
};