We evaluate the performance achievable with Proportional-Integral-Derivative fractional Double-Derivative controllers, denoted as PIDD2α, by comparing it with that achievable with standard PID controllers and with Proportional-Integral-Double-Derivative (PIDD or PIDD2) controllers, which are also called Proportional-Integral-Derivative-Acceleration (PIDA) controllers. The cost-effectiveness ratio improvement obtained when augmenting the control law with an element proportional to the fractional second derivative of the control error is assessed by considering different process transfer functions and by tuning the controllers minimizing the integrated absolute error with genetic algorithms. Further, a constraint on the maximum sensitivity is also posed so that the system robustness is taken into account. The set-point following and the load disturbance rejection tasks are evaluated separately.

Performance comparison between PID, PIDD2 and PIDD2α

Milanesi, Marco;Visioli, Antonio;
2024-01-01

Abstract

We evaluate the performance achievable with Proportional-Integral-Derivative fractional Double-Derivative controllers, denoted as PIDD2α, by comparing it with that achievable with standard PID controllers and with Proportional-Integral-Double-Derivative (PIDD or PIDD2) controllers, which are also called Proportional-Integral-Derivative-Acceleration (PIDA) controllers. The cost-effectiveness ratio improvement obtained when augmenting the control law with an element proportional to the fractional second derivative of the control error is assessed by considering different process transfer functions and by tuning the controllers minimizing the integrated absolute error with genetic algorithms. Further, a constraint on the maximum sensitivity is also posed so that the system robustness is taken into account. The set-point following and the load disturbance rejection tasks are evaluated separately.
2024
Proceedings 12th IFAC Conference on Fractional Differentiation and its Applications, ICFDA 2024
Ateneo di appartenenza
PE7_1 Control engineering
Esperti anonimi
Inglese
no
12th IFAC Conference on Fractional Differentiation and its Applications, ICFDA 2024
9-12/7/2024
Bordeaux (F)
Internazionale
ELETTRONICO
58
125
130
6
Elsevier
optimization; performance assessment; PID controllers; PID fractional Double Derivative controllers; tuning
Altre Istituz. pubb. estere
no
Goal 9: Industry, Innovation, and Infrastructure
none
Milanesi, Marco; Visioli, Antonio; Chen, Yangquan
273
info:eu-repo/semantics/conferenceObject
3
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/612789
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