Optimal Selection of the Control Strategy for Dual-Axis Solar Tracking Systems Article Swipe
Sergio Isaí Palomino-Reséndiz
,
Frida A. Ortiz-Martínez
,
Itzia V. Paramo-Ortega
,
Juan M. González-Lira
,
Diego A. Flores-Hernández
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3283336
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3283336
This article proposes a methodology for the optimal selection of the control strategy for two-axis solar tracking systems, that simultaneously reduces tracking error and energy consumption in existing solar tracking systems, improving their overall performance. Begins with the characterization of the tracking system, then the constraint definition helps to pre-select the possible controllers. Subsequently, a selection stage is carried out from a heuristic approach, based on a multibody simulation analysis and an experimental analysis, and the feasible controllers for the application of the tracker are defined. Finally, a comparative analysis is carried out to find the best control strategy for the existing tracker and the solar application. The optimal selection approach was implemented in a solar tracking system for low-power photovoltaic applications. Based on the defined constraints, six control strategies were pre-selected, which were simulated and implemented in the physical system. The multibody simulation process allows the designer to know the dynamics of each controller, and in turn determine an approximation of the best configuration of the elements that compose it. This, with the aim of validating that each proposal is compatible with the application of the solar tracker, and that it can be taken to the real experimental environment. From the experimental results, the MPC controller shows the best performance. Well, although it has a greater error than other alternatives, its value is still below the permissible precision level (less than 2°) and in turn has the lowest energy consumption 0.7867 Wh. That is, a reduction ranging from 34 to 76% with respect to each performance of the alternatives considered. In addition, the dynamics of the control actions it performs are smoother, thus reducing wear on the actuators.Thus, the results obtained to support that with the proposed methodology the overall performance of solar tracking systems can be increased, significantly reducing tracking error and energy consumption.
Related Topics
Concepts
Computer science
Photovoltaic system
Solar tracker
Controller (irrigation)
Heuristic
Tracking error
Process (computing)
Control theory (sociology)
Energy consumption
Control engineering
Tracking (education)
Selection (genetic algorithm)
Tracking system
Control (management)
Engineering
Artificial intelligence
Kalman filter
Electrical engineering
Operating system
Psychology
Biology
Pedagogy
Agronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2023.3283336
- https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144774.pdf
- OA Status
- gold
- Cited By
- 24
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379796751
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4379796751Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2023.3283336Digital Object Identifier
- Title
-
Optimal Selection of the Control Strategy for Dual-Axis Solar Tracking SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Sergio Isaí Palomino-Reséndiz, Frida A. Ortiz-Martínez, Itzia V. Paramo-Ortega, Juan M. González-Lira, Diego A. Flores-HernándezList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2023.3283336Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144774.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144774.pdfDirect OA link when available
- Concepts
-
Computer science, Photovoltaic system, Solar tracker, Controller (irrigation), Heuristic, Tracking error, Process (computing), Control theory (sociology), Energy consumption, Control engineering, Tracking (education), Selection (genetic algorithm), Tracking system, Control (management), Engineering, Artificial intelligence, Kalman filter, Electrical engineering, Operating system, Psychology, Biology, Pedagogy, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 14, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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