Padula-Visioli tuning algorithm for a FOPID controller

Version 1.0.2 (8.98 KB) by Mariusz Matusiak
Padula-Visioli tuning algorithm for a FOPID controller in CLS system with a first order plus dead time plant (FOPDT)
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Updated 23 Nov 2019
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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 (2024). Padula-Visioli tuning algorithm for a FOPID controller (https://github.com/mariuszmatusiak/pvfopid), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.2

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1.0.1

Added logo
1.0.0

0.0.1

See release notes for this release on GitHub: https://github.com/mariuszmatusiak/pvfopid/releases/tag/0.0.1
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.