2023
DOI: 10.3390/en16227584
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A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Grzegorz Filo

Abstract: Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actua… Show more

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Cited by 4 publications
(2 citation statements)
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“…This approach avoids the use of precise mathematical models and ensures operation even if the integrity of the input data is compromised, in conditions in which other methods are least effective. The fuzzy logic algorithm processes information in such a way as to create a reliable system for diagnosing, controlling, and rectifying faults in challenging operating conditions [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…This approach avoids the use of precise mathematical models and ensures operation even if the integrity of the input data is compromised, in conditions in which other methods are least effective. The fuzzy logic algorithm processes information in such a way as to create a reliable system for diagnosing, controlling, and rectifying faults in challenging operating conditions [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…To achieve an effective and efficient controller, one must have a sound knowledge of the structure and limitations of FCSs, as well as explore their possibilities. Although FCSs have been studied and analyzed in various engineering fields, such as refrigeration, and hydraulic and pneumatic systems [46][47][48][49], only a few authors have focused exclusively and intensively on PQ improvement in power systems in recent years. These studies emphasize the usefulness of fuzzy logic and explore different aspects of control systems and power systems.…”
Section: Introductionmentioning
confidence: 99%