Padula-Visioli tuning algorithm for a FOPID controller
Padula-Visioli tuning algorithm for a FOPID controller in CLS system with a first order plus dead time plant (FOPDT)
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Algorithm was proposed by Fabrizio Padula and Antonio Visioli in:
[1] F. Padula and A. Visioli, "Tuning rules for optimal PID and fractional-order PID controllers," J. Process Control, vol. 21, no. 1, pp. 69–81, Jan. 2011.
Requirements:
FOTF toolbox
Parameters:
K - FOPDT gain
T - FOPDT time constant
L - FOPDT dead time
Output:
SP14 - 5-element vector of coefficients [K_P, K_I, K_D, \mu, \nu, N] for the Set point task, M_1=1.4
SP20 - coefficients for the Set point task, M_2=2.0
LD14 - coefficients for the Load disturbance rejection task, M_1=1.4
LD20 - coefficients for the Load disturbance rejection task, M_2=2.0
GconSP14 - fractional-order transfer function (FOTF) of the FOPID controller based on SP14 coefficients
GconSP20 - FOTF of the FOPID based on SP20 coefficients
GconLD14 - FOTF of the FOPID based on LD14 coefficients
GconLD20 - FOTF of the FOPID based on LD20 coefficients
Implemented by: Mariusz Matusiak <mmatusiak@iis.p.lodz.pl>
Cite As
Mariusz Matusiak (2026). Padula-Visioli tuning algorithm for a FOPID controller (https://github.com/mariuszmatusiak/pvfopid), GitHub. Retrieved .
Acknowledgements
General Information
- Version 1.0.2 (8.98 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.2 | - |
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| 1.0.1 | Added logo |
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| 1.0.0 | |||
| 0.0.1 | See release notes for this release on GitHub: https://github.com/mariuszmatusiak/pvfopid/releases/tag/0.0.1 |
