Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System
<p dir="ltr">Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. Therefore, the use of low-cost photovoltaic (PV) panels in water pumping systems, without chemi...
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2023
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| _version_ | 1864513527563157504 |
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| author | B. Rouabah (17947820) |
| author2 | H. Toubakh (17947823) M. Djemai (17947826) L. Ben-Brahim (17947829) Raymond Ghandour (17947832) |
| author2_role | author author author author |
| author_facet | B. Rouabah (17947820) H. Toubakh (17947823) M. Djemai (17947826) L. Ben-Brahim (17947829) Raymond Ghandour (17947832) |
| author_role | author |
| dc.creator.none.fl_str_mv | B. Rouabah (17947820) H. Toubakh (17947823) M. Djemai (17947826) L. Ben-Brahim (17947829) Raymond Ghandour (17947832) |
| dc.date.none.fl_str_mv | 2023-04-12T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2023.3266522 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Fault_Diagnosis_Based_Machine_Learning_and_Fault_Tolerant_Control_of_Multicellular_Converter_Used_in_Photovoltaic_Water_Pumping_System/25204223 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Photovoltaic systems Capacitors DC motors Topology Mathematical models Torque Maximum power point trackers Photovoltaic water pumping system multicellular converter fault diagnosis based machine learning fault tolerant control (FTC) |
| dc.title.none.fl_str_mv | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. Therefore, the use of low-cost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on high-performance and more efficient power converters with increased time life and lower maintenance interventions is needed. In this study, a photovoltaic water pumping system with two power converters, the first is used to extract the maximum power using the maximum power point tracking (MPPT) algorithm, and the second is a three-cell multicellular power converter used to control the DC motor with a submerged pump. Meanwhile, the serial connection and redundant topology of multicellular converters render the system more vulnerable to failure. fault diagnosis-based machine learning approach and fault tolerant control (FTC) are proposed for multicellular power converters. Simulation results with MATLAB show the effectiveness and practicability of the proposed structure and control to isolate the faulty capacitor, increase the sustainability of the system, assure the supply of water under faulty conditions, minimize the mechanical vibrations in electric DC motors, and avoid PV system shutdown.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3266522" target="_blank">https://dx.doi.org/10.1109/access.2023.3266522</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_cb2f14c4faedc23c46fd09e76aa9fc60 |
| identifier_str_mv | 10.1109/access.2023.3266522 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25204223 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping SystemB. Rouabah (17947820)H. Toubakh (17947823)M. Djemai (17947826)L. Ben-Brahim (17947829)Raymond Ghandour (17947832)EngineeringElectrical engineeringElectronics, sensors and digital hardwareMaterials engineeringPhotovoltaic systemsCapacitorsDC motorsTopologyMathematical modelsTorqueMaximum power point trackersPhotovoltaic water pumping systemmulticellular converterfault diagnosis based machine learningfault tolerant control (FTC)<p dir="ltr">Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. Therefore, the use of low-cost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on high-performance and more efficient power converters with increased time life and lower maintenance interventions is needed. In this study, a photovoltaic water pumping system with two power converters, the first is used to extract the maximum power using the maximum power point tracking (MPPT) algorithm, and the second is a three-cell multicellular power converter used to control the DC motor with a submerged pump. Meanwhile, the serial connection and redundant topology of multicellular converters render the system more vulnerable to failure. fault diagnosis-based machine learning approach and fault tolerant control (FTC) are proposed for multicellular power converters. Simulation results with MATLAB show the effectiveness and practicability of the proposed structure and control to isolate the faulty capacitor, increase the sustainability of the system, assure the supply of water under faulty conditions, minimize the mechanical vibrations in electric DC motors, and avoid PV system shutdown.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3266522" target="_blank">https://dx.doi.org/10.1109/access.2023.3266522</a></p>2023-04-12T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2023.3266522https://figshare.com/articles/journal_contribution/Fault_Diagnosis_Based_Machine_Learning_and_Fault_Tolerant_Control_of_Multicellular_Converter_Used_in_Photovoltaic_Water_Pumping_System/25204223CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252042232023-04-12T03:00:00Z |
| spellingShingle | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System B. Rouabah (17947820) Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Photovoltaic systems Capacitors DC motors Topology Mathematical models Torque Maximum power point trackers Photovoltaic water pumping system multicellular converter fault diagnosis based machine learning fault tolerant control (FTC) |
| status_str | publishedVersion |
| title | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| title_full | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| title_fullStr | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| title_full_unstemmed | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| title_short | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| title_sort | Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Photovoltaic systems Capacitors DC motors Topology Mathematical models Torque Maximum power point trackers Photovoltaic water pumping system multicellular converter fault diagnosis based machine learning fault tolerant control (FTC) |