Model Predictive Control Structures for Periodic ON–OFF Irrigation
Agriculture accounts for approximately 70% of the world’s freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for irrigation pumps and higher ele...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10129168/ |
| _version_ | 1797812902318571520 |
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| author | Gabriela B. Caceres Antonio Ferramosca Pablo Millan Gata Mario Pereira Martin |
| author_facet | Gabriela B. Caceres Antonio Ferramosca Pablo Millan Gata Mario Pereira Martin |
| author_sort | Gabriela B. Caceres |
| collection | DOAJ |
| description | Agriculture accounts for approximately 70% of the world’s freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for irrigation pumps and higher electricity consumption. The main objective of this study is to develop and evaluate periodic model predictive control structures that explicitly account for on-off irrigation, a characteristic of drip irrigation systems where watering can be turned on and off, but flow cannot be regulated. While both proposed control structures incorporate an economic upper layer (Real Time Optimizer, RTO), they differ in the costs associated with the lower layer. The first structure, called Model Predictive Control for Tracking (MPCT), focuses on tracking effectiveness, while the second structure, called Economic Model Predictive Control for Tracking (EMPCT), incorporates the economic cost into the tracking term. These proposed structures are tested in a realistic case study, specifically in a strawberry greenhouse, and both show satisfactory performance. The choice of the best option will depend on specific conditions. |
| first_indexed | 2024-03-13T07:44:14Z |
| format | Article |
| id | doaj.art-d3f12c2884a7419298736587a2726e07 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T07:44:14Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d3f12c2884a7419298736587a2726e072023-06-02T23:00:44ZengIEEEIEEE Access2169-35362023-01-0111519855199610.1109/ACCESS.2023.327761810129168Model Predictive Control Structures for Periodic ON–OFF IrrigationGabriela B. Caceres0https://orcid.org/0000-0002-3261-9057Antonio Ferramosca1https://orcid.org/0000-0003-3935-9734Pablo Millan Gata2https://orcid.org/0000-0002-6129-0094Mario Pereira Martin3Universidad Loyola Andalucía, Dos Hermanas, Seville, SpainDepartment of Management, Information and Production Engineering, University of Bergamo, Dalmine, Bergamo, ItalyUniversidad Loyola Andalucía, Dos Hermanas, Seville, SpainUniversidad Loyola Andalucía, Dos Hermanas, Seville, SpainAgriculture accounts for approximately 70% of the world’s freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for irrigation pumps and higher electricity consumption. The main objective of this study is to develop and evaluate periodic model predictive control structures that explicitly account for on-off irrigation, a characteristic of drip irrigation systems where watering can be turned on and off, but flow cannot be regulated. While both proposed control structures incorporate an economic upper layer (Real Time Optimizer, RTO), they differ in the costs associated with the lower layer. The first structure, called Model Predictive Control for Tracking (MPCT), focuses on tracking effectiveness, while the second structure, called Economic Model Predictive Control for Tracking (EMPCT), incorporates the economic cost into the tracking term. These proposed structures are tested in a realistic case study, specifically in a strawberry greenhouse, and both show satisfactory performance. The choice of the best option will depend on specific conditions.https://ieeexplore.ieee.org/document/10129168/Economic model predictive controlnon-linear equationson-off irrigationperiodic MPCtransient regime |
| spellingShingle | Gabriela B. Caceres Antonio Ferramosca Pablo Millan Gata Mario Pereira Martin Model Predictive Control Structures for Periodic ON–OFF Irrigation IEEE Access Economic model predictive control non-linear equations on-off irrigation periodic MPC transient regime |
| title | Model Predictive Control Structures for Periodic ON–OFF Irrigation |
| title_full | Model Predictive Control Structures for Periodic ON–OFF Irrigation |
| title_fullStr | Model Predictive Control Structures for Periodic ON–OFF Irrigation |
| title_full_unstemmed | Model Predictive Control Structures for Periodic ON–OFF Irrigation |
| title_short | Model Predictive Control Structures for Periodic ON–OFF Irrigation |
| title_sort | model predictive control structures for periodic on x2013 off irrigation |
| topic | Economic model predictive control non-linear equations on-off irrigation periodic MPC transient regime |
| url | https://ieeexplore.ieee.org/document/10129168/ |
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