A Comparative Study of Fractional PID and Integer PID: Experimental Test Results on a Thermal Process

The fractional integral (FO) is an advanced variant that extends the conventional PID controller by incorporating noninteger (fractional) orders of integration and differentiation. This modification allows for a more flexible response to the error signal, improving stability and efficiency compared to the traditional PID. This paper presents a comprehensive comparative study conducted within Simulink for the Temperature Control Lab (TCLab). The results show that fractional PIDs perform better than regular PIDs due to the two additional tuning parameters that allow for better tuning in the controller's action.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735976
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study of Fractional PID and Integer PID: Experimental Test Results on a Thermal Process

Óscar Camacho, Noel Pérez, Diego S. Benítez, Daniel Puyol et al.
Advanced Control Systems Design
article

A Comparative Study of Fractional PID and Integer PID: Experimental Test Results on a Thermal Process

Óscar Camacho, Noel Pérez, Diego S. Benítez, Daniel Puyol, Marco Luis Herrera, Fabricio Yèpez
article en

Abstract

The fractional integral (FO) is an advanced variant that extends the conventional PID controller by incorporating noninteger (fractional) orders of integration and differentiation. This modification allows for a more flexible response to the error signal, improving stability and efficiency compared to the traditional PID. This paper presents a comprehensive comparative study conducted within Simulink for the Temperature Control Lab (TCLab). The results show that fractional PIDs perform better than regular PIDs due to the two additional tuning parameters that allow for better tuning in the controller's action.

Universidad San Francisco de Quito (EC)
Openalex Percentile: Top 77%
Advanced Control Systems Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.