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A review of recent developments in autotuning methods for fractional-order controllers

Cristina I. Muresan, Isabela Roxana Birs (UGent) , Clara-Mihaela Ionescu (UGent) , Eva H. Dulf and Robain De Keyser (UGent)
(2022) FRACTAL AND FRACTIONAL. 6(1).
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Abstract
The scientific community has recently seen a fast-growing number of publications tackling the topic of fractional-order controllers in general, with a focus on the fractional order PID. Several versions of this controller have been proposed, including different tuning methods and implementation possibilities. Quite a few recent papers discuss the practical use of such controllers. However, the industrial acceptance of these controllers is still far from being reached. Autotuning methods for such fractional order PIDs could possibly make them more appealing to industrial applications, as well. In this paper, the current autotuning methods for fractional order PIDs are reviewed. The focus is on the most recent findings. A comparison between several autotuning approaches is considered for various types of processes. Numerical examples are given to highlight the practicality of the methods that could be extended to simple industrial processes.
Keywords
Statistics and Probability, Statistical and Nonlinear Physics, Analysis, direct autotuning methods, indirect autotuning methods, fractional-order controllers, simulation results, FOPID CONTROLLERS, PID CONTROLLERS, SYSTEMS, FUTURE

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Citation

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MLA
Muresan, Cristina I., et al. “A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers.” FRACTAL AND FRACTIONAL, vol. 6, no. 1, 2022, doi:10.3390/fractalfract6010037.
APA
Muresan, C. I., Birs, I. R., Ionescu, C.-M., Dulf, E. H., & De Keyser, R. (2022). A review of recent developments in autotuning methods for fractional-order controllers. FRACTAL AND FRACTIONAL, 6(1). https://doi.org/10.3390/fractalfract6010037
Chicago author-date
Muresan, Cristina I., Isabela Roxana Birs, Clara-Mihaela Ionescu, Eva H. Dulf, and Robain De Keyser. 2022. “A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers.” FRACTAL AND FRACTIONAL 6 (1). https://doi.org/10.3390/fractalfract6010037.
Chicago author-date (all authors)
Muresan, Cristina I., Isabela Roxana Birs, Clara-Mihaela Ionescu, Eva H. Dulf, and Robain De Keyser. 2022. “A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers.” FRACTAL AND FRACTIONAL 6 (1). doi:10.3390/fractalfract6010037.
Vancouver
1.
Muresan CI, Birs IR, Ionescu C-M, Dulf EH, De Keyser R. A review of recent developments in autotuning methods for fractional-order controllers. FRACTAL AND FRACTIONAL. 2022;6(1).
IEEE
[1]
C. I. Muresan, I. R. Birs, C.-M. Ionescu, E. H. Dulf, and R. De Keyser, “A review of recent developments in autotuning methods for fractional-order controllers,” FRACTAL AND FRACTIONAL, vol. 6, no. 1, 2022.
@article{8740988,
  abstract     = {{The scientific community has recently seen a fast-growing number of publications tackling the topic of fractional-order controllers in general, with a focus on the fractional order PID. Several versions of this controller have been proposed, including different tuning methods and implementation possibilities. Quite a few recent papers discuss the practical use of such controllers. However, the industrial acceptance of these controllers is still far from being reached. Autotuning methods for such fractional order PIDs could possibly make them more appealing to industrial applications, as well. In this paper, the current autotuning methods for fractional order PIDs are reviewed. The focus is on the most recent findings. A comparison between several autotuning approaches is considered for various types of processes. Numerical examples are given to highlight the practicality of the methods that could be extended to simple industrial processes.}},
  articleno    = {{37}},
  author       = {{Muresan, Cristina I. and Birs, Isabela Roxana and Ionescu, Clara-Mihaela and Dulf, Eva H. and De Keyser, Robain}},
  issn         = {{2504-3110}},
  journal      = {{FRACTAL AND FRACTIONAL}},
  keywords     = {{Statistics and Probability,Statistical and Nonlinear Physics,Analysis,direct autotuning methods,indirect autotuning methods,fractional-order controllers,simulation results,FOPID CONTROLLERS,PID CONTROLLERS,SYSTEMS,FUTURE}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{25}},
  title        = {{A review of recent developments in autotuning methods for fractional-order controllers}},
  url          = {{http://doi.org/10.3390/fractalfract6010037}},
  volume       = {{6}},
  year         = {{2022}},
}
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