Fuzzy Controller Tuning Methods for Typical Plant Types

This paper presents a contribution to fuzzy controller tuning. Fuzzy control is a control technology used in practice for years with excellent results thanks to their possible nonlinearity, which allows us to realize more complicated control strategies than classical PID controllers. This paper presents a new approach for fuzzy controller design and tuning based on a set of typical reactions. Its advantages are presented by comparison with a PID controller, tuned with the help of a standard tuning tool in a Matlab/Simulink environment. The set of typical plants from the area of agricultural application, including first-order plus time delay (FOPTD) and oscillating second-order plus time delay (SOPTD) plants was used to demonstrate the quality of fuzzy control with very good results.

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Published
2024-12-04
DOI
https://doi.org/10.1109/me61309.2024.10789767
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Fuzzy Controller Tuning Methods for Typical Plant Types

Šimon Bilík, Robert Rouš, R. von Musil, Radim Farana
Advanced Algorithms and Applications
article

Fuzzy Controller Tuning Methods for Typical Plant Types

Šimon Bilík, Robert Rouš, R. von Musil, Radim Farana
article en

Abstract

This paper presents a contribution to fuzzy controller tuning. Fuzzy control is a control technology used in practice for years with excellent results thanks to their possible nonlinearity, which allows us to realize more complicated control strategies than classical PID controllers. This paper presents a new approach for fuzzy controller design and tuning based on a set of typical reactions. Its advantages are presented by comparison with a PID controller, tuned with the help of a standard tuning tool in a Matlab/Simulink environment. The set of typical plants from the area of agricultural application, including first-order plus time delay (FOPTD) and oscillating second-order plus time delay (SOPTD) plants was used to demonstrate the quality of fuzzy control with very good results.

Mendel University in Brno (CZ)
Openalex Percentile: Top 72%
Advanced Algorithms and Applications
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Fuzzy Controller Tuning Methods for Typical Plant Types — Šimon Bilík, Robert Rouš, et al. · (2024) | TGRS Research Map | TGRS