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Fuzzy Control Strategies Applied to an Air Levitation System

Authors: Adelar Baccon de Araújo; Carlos Alexandre de Souza Bispo; Ricardo Breganon; Uiliam Nelson Lendzion Tomaz Alves; Luís Fabiano Barone Martins; Fernando Sabino Fonteque Ribeiro; João Paulo Lima Silva de Almeida;

Fuzzy Control Strategies Applied to an Air Levitation System

Abstract

Pneumatic systems are known for their nonlinear characteristics and susceptibility to disturbances from turbulences in airflow, which make them interesting for validating control strategies in academic studies. This work presents the development and control of a didactic system for vertically positioning a ball via an airflow, a device known as Air Levitation system. The main constructive aspects of the considered low-cost Air Levitation system are described in this paper. Furthermore, three fuzzy control strategies (PD-Fuzzy, Incremental PD-Fuzzy, and PD-Fuzzy+I) were implemented in this system for comparative purposes. The controllers were implemented through the Matlab/Simulink® software along with an Arduino UNO board. Finally, the experimental results of the fuzzy control strategies are presented, and their main differences are highlighted.

Published in International Journal of Advances in Engineering & Technology (IJAET), Volume 16 Issue 4, pp. 215-228, August 2023. Available online at: https://www.ijaet.org/media/7I76-IJAET1604809-v16-i4-pp215-228.pdf

Keywords

Air Levitation System, Fuzzy Control, Didactic System, Intelligent Control

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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