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Tuning guidelines and experimental comparisons of sine based auto-tuning methods for fractional order controllers

(2022) IEEE ACCESS. 10. p.86671-86683
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Abstract
Accurate process modeling is occasionally difficult. In such situations, auto-tuning methods enable the design of suitable controllers based on experimental data and predefined mathematical approaches. Fractional order PIDs have recently emerged as a generalization of the standard PID controller, but auto-tuning methods for these controllers are scarce. In this paper, three sine-test based methodologies are presented from a control engineer's perspective consisting of novel Sine-Test, FO-KC and FO-ZN methods, with clear design and implementation guidelines. The approaches are exemplified on a highly nonlinear experimental platform. An in depth comparison is performed based on experimental closed loop system performance for wide operating areas, tuning effort and complexity, with a focus on the suitability for industrial applications. The study aims at providing a solid foundation for practitioners that desire to explore auto-tuning possibilities, presenting tuning workflows and implementation guidelines, while also considering the challenges associated with real-life process.
Keywords
Tuning, Guidelines, Robustness, Process control, Optimization, Nonlinear equations, Time-frequency analysis, Fractional order auto-tuners, auto-tuner comparison, nonlinear process, fractional calculus, PID CONTROLLERS, VALIDATION, SYSTEMS

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MLA
Birs, Isabela Roxana, et al. “Tuning Guidelines and Experimental Comparisons of Sine Based Auto-Tuning Methods for Fractional Order Controllers.” IEEE ACCESS, vol. 10, 2022, pp. 86671–83, doi:10.1109/ACCESS.2022.3198943.
APA
Birs, I. R., Muresan, C., Mihai, M., Dulf, E., & De Keyser, R. (2022). Tuning guidelines and experimental comparisons of sine based auto-tuning methods for fractional order controllers. IEEE ACCESS, 10, 86671–86683. https://doi.org/10.1109/ACCESS.2022.3198943
Chicago author-date
Birs, Isabela Roxana, Cristina Muresan, Marcian Mihai, Eva Dulf, and Robain De Keyser. 2022. “Tuning Guidelines and Experimental Comparisons of Sine Based Auto-Tuning Methods for Fractional Order Controllers.” IEEE ACCESS 10: 86671–83. https://doi.org/10.1109/ACCESS.2022.3198943.
Chicago author-date (all authors)
Birs, Isabela Roxana, Cristina Muresan, Marcian Mihai, Eva Dulf, and Robain De Keyser. 2022. “Tuning Guidelines and Experimental Comparisons of Sine Based Auto-Tuning Methods for Fractional Order Controllers.” IEEE ACCESS 10: 86671–86683. doi:10.1109/ACCESS.2022.3198943.
Vancouver
1.
Birs IR, Muresan C, Mihai M, Dulf E, De Keyser R. Tuning guidelines and experimental comparisons of sine based auto-tuning methods for fractional order controllers. IEEE ACCESS. 2022;10:86671–83.
IEEE
[1]
I. R. Birs, C. Muresan, M. Mihai, E. Dulf, and R. De Keyser, “Tuning guidelines and experimental comparisons of sine based auto-tuning methods for fractional order controllers,” IEEE ACCESS, vol. 10, pp. 86671–86683, 2022.
@article{8766219,
  abstract     = {{Accurate process modeling is occasionally difficult. In such situations, auto-tuning methods enable the design of suitable controllers based on experimental data and predefined mathematical approaches. Fractional order PIDs have recently emerged as a generalization of the standard PID controller, but auto-tuning methods for these controllers are scarce. In this paper, three sine-test based methodologies are presented from a control engineer's perspective consisting of novel Sine-Test, FO-KC and FO-ZN methods, with clear design and implementation guidelines. The approaches are exemplified on a highly nonlinear experimental platform. An in depth comparison is performed based on experimental closed loop system performance for wide operating areas, tuning effort and complexity, with a focus on the suitability for industrial applications. The study aims at providing a solid foundation for practitioners that desire to explore auto-tuning possibilities, presenting tuning workflows and implementation guidelines, while also considering the challenges associated with real-life process.}},
  author       = {{Birs, Isabela Roxana and Muresan, Cristina and Mihai, Marcian and Dulf, Eva and De Keyser, Robain}},
  issn         = {{2169-3536}},
  journal      = {{IEEE ACCESS}},
  keywords     = {{Tuning,Guidelines,Robustness,Process control,Optimization,Nonlinear equations,Time-frequency analysis,Fractional order auto-tuners,auto-tuner comparison,nonlinear process,fractional calculus,PID CONTROLLERS,VALIDATION,SYSTEMS}},
  language     = {{eng}},
  pages        = {{86671--86683}},
  title        = {{Tuning guidelines and experimental comparisons of sine based auto-tuning methods for fractional order controllers}},
  url          = {{http://doi.org/10.1109/ACCESS.2022.3198943}},
  volume       = {{10}},
  year         = {{2022}},
}

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