Maximum power point tracking of photovoltaic array using fuzzy logic control Article Swipe
Djaafar Toumi
,
Djilani Benattous
,
Аhmed Ibrahim
,
Bedida Tarek
,
Messaoud Zobeidi
,
Khelaifa Fethi
,
Hicham Serhoud
,
Yacine Labbi
,
Raef Aboelsaud
,
Sergey Obukhov
,
Mohamed Tayeb Boussabeur
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449
This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.
Related Topics
Concepts
Maximum power point tracking
Photovoltaic system
Fuzzy logic
Control theory (sociology)
MATLAB
Maximum power principle
Computer science
Track (disk drive)
Point (geometry)
Controller (irrigation)
Power (physics)
Tracking (education)
Fuzzy control system
Control (management)
Mathematics
Artificial intelligence
Engineering
Inverter
Physics
Electrical engineering
Pedagogy
Biology
Psychology
Geometry
Quantum mechanics
Operating system
Agronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449
- https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/22191/14040
- OA Status
- diamond
- Cited By
- 8
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307021480
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307021480Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449Digital Object Identifier
- Title
-
Maximum power point tracking of photovoltaic array using fuzzy logic controlWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-21Full publication date if available
- Authors
-
Djaafar Toumi, Djilani Benattous, Аhmed Ibrahim, Bedida Tarek, Messaoud Zobeidi, Khelaifa Fethi, Hicham Serhoud, Yacine Labbi, Raef Aboelsaud, Sergey Obukhov, Mohamed Tayeb BoussabeurList of authors in order
- Landing page
-
https://doi.org/10.11591/ijpeds.v13.i4.pp2440-2449Publisher landing page
- PDF URL
-
https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/22191/14040Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/22191/14040Direct OA link when available
- Concepts
-
Maximum power point tracking, Photovoltaic system, Fuzzy logic, Control theory (sociology), MATLAB, Maximum power principle, Computer science, Track (disk drive), Point (geometry), Controller (irrigation), Power (physics), Tracking (education), Fuzzy control system, Control (management), Mathematics, Artificial intelligence, Engineering, Inverter, Physics, Electrical engineering, Pedagogy, Biology, Psychology, Geometry, Quantum mechanics, Operating system, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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