“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: 10.4173/mic.2017.4.3DOI 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 |
| [4] Adri Senen, Titi Ratnasari, Yoakim Simamora, B. Warsito, Sudarno and T. Triadi Putranto (2020), doi:10.1051/e3sconf/202020215006 |
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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}
};