A review of fuzzy logic method development in hydraulic and pneumatic systems
Authors:
- 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, actuators, proportional valves, etc. Then, the results of the recent research were presented, and the main features of the designed fuzzy logic units were summarized for each group. Particular attention was paid to types of membership functions used for fuzzification and defuzzification, numbers of fuzzy sets defined for input and output signals, types of fuzzy operators, the applied inference algorithm and the defuzzification method. Based on the analysis of the listed parameters, conclusions were formulated regarding advantages, main issues and difficulties, as well as recommended directions for further development.
- Record ID
- CUT22f2476b3ecd4d8b8bb074d26fc27384
- Publication categories
- ;
- Author
- Journal series
- Energies, ISSN , e-ISSN 1996-1073, Biweekly
- Issue year
- 2023
- Vol
- 16
- No
- 22
- Pages
- [1-19]
- Article number
- 7584
- Other elements of collation
- rys.; schem.; tab.; wykr.; Bibliografia (na s.) - 16-19; Bibliografia (liczba pozycji) - 93; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 16, Iss. 22
- Keywords in English
- fuzzy logic, fuzzy modelling, fuzzy control, fuzzification, inference, defuzzification, hydraulics, pneumatics
- ASJC Classification
- DOI
- DOI:10.3390/en16227584 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1073/16/22/7584 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT22f2476b3ecd4d8b8bb074d26fc27384/
- URN
urn:pkr-prod:CUT22f2476b3ecd4d8b8bb074d26fc27384
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.