Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System
An agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create a favorable microclimate for agricultural production. Temperature and internal humidity are two parameters that have a major impact on greenhouse yield. The objective of this stud...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/4/1350 |
| _version_ | 1818503050913906688 |
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| author | Jamel Riahi Silvano Vergura Dhafer Mezghani Abdelkader Mami |
| author_facet | Jamel Riahi Silvano Vergura Dhafer Mezghani Abdelkader Mami |
| author_sort | Jamel Riahi |
| collection | DOAJ |
| description | An agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create a favorable microclimate for agricultural production. Temperature and internal humidity are two parameters that have a major impact on greenhouse yield. The objective of this study was to propose a simulated dynamic model in a MATLAB/Simulink environment for experimental validation. Moreover, a fuzzy controller was designed to manage a greenhouse indoor climate by means of an asynchronous motor for ventilation, heating, humidification, etc. An intelligent system to control these actuators for an optimal inside climate was implemented in the model. The dynamic model was validated by comparing the simulation results to experimental measurements. These results showed the effectiveness of the control strategy in regulating the greenhouse indoor climate. Finally, a photovoltaic generator was modeled, with the aim of reducing the costs of agricultural production. It feeds the asynchronous motor with a vector control optimized by fuzzy logic that drives a variable speed fan. |
| first_indexed | 2024-12-10T21:18:40Z |
| format | Article |
| id | doaj.art-d882602035094e80a85f0bfebef164a7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T21:18:40Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d882602035094e80a85f0bfebef164a72022-12-22T01:33:13ZengMDPI AGApplied Sciences2076-34172020-02-01104135010.3390/app10041350app10041350Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV SystemJamel Riahi0Silvano Vergura1Dhafer Mezghani2Abdelkader Mami3UR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar, 1068 Tunis, TunisiaDepartment of Electrical and Information Engineering, Polytechnic University of Bari, st. E. Orabona 4, I-70125 Bari, ItalyUR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar, 1068 Tunis, TunisiaUR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar, 1068 Tunis, TunisiaAn agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create a favorable microclimate for agricultural production. Temperature and internal humidity are two parameters that have a major impact on greenhouse yield. The objective of this study was to propose a simulated dynamic model in a MATLAB/Simulink environment for experimental validation. Moreover, a fuzzy controller was designed to manage a greenhouse indoor climate by means of an asynchronous motor for ventilation, heating, humidification, etc. An intelligent system to control these actuators for an optimal inside climate was implemented in the model. The dynamic model was validated by comparing the simulation results to experimental measurements. These results showed the effectiveness of the control strategy in regulating the greenhouse indoor climate. Finally, a photovoltaic generator was modeled, with the aim of reducing the costs of agricultural production. It feeds the asynchronous motor with a vector control optimized by fuzzy logic that drives a variable speed fan.https://www.mdpi.com/2076-3417/10/4/1350dynamic modelfuzzy controllerphotovoltaic generatormpptconverter sepicvector controlmatlab/simulink environment |
| spellingShingle | Jamel Riahi Silvano Vergura Dhafer Mezghani Abdelkader Mami Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System Applied Sciences dynamic model fuzzy controller photovoltaic generator mppt converter sepic vector control matlab/simulink environment |
| title | Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System |
| title_full | Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System |
| title_fullStr | Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System |
| title_full_unstemmed | Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System |
| title_short | Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System |
| title_sort | intelligent control of the microclimate of an agricultural greenhouse powered by a supporting pv system |
| topic | dynamic model fuzzy controller photovoltaic generator mppt converter sepic vector control matlab/simulink environment |
| url | https://www.mdpi.com/2076-3417/10/4/1350 |
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