Padula-Visioli tuning algorithm for a FOPID controller
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>
Citation pour cette source
Mariusz Matusiak (2025). Padula-Visioli tuning algorithm for a FOPID controller (https://github.com/mariuszmatusiak/pvfopid), GitHub. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Control Systems > Control System Toolbox > Control System Design and Tuning > PID Controller Tuning >
Tags
Remerciements
A inspiré : Accelerated Black Hole Optimization Algorithm
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| Version | Publié le | Notes de version | |
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| 1.0.2 | - |
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| 1.0.1 | Added logo |
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| 0.0.1 | See release notes for this release on GitHub: https://github.com/mariuszmatusiak/pvfopid/releases/tag/0.0.1 |