Inverse Model Predictive Control for Power Electronic Converters
<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. The key advantage of...
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2024
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| _version_ | 1864513542662651904 |
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| author | Ali Sharida (17947847) |
| author2 | Sertac Bayhan (16388511) Haitham Abu-Rub (16855500) Uğur Feslİ (21841832) |
| author2_role | author author author |
| author_facet | Ali Sharida (17947847) Sertac Bayhan (16388511) Haitham Abu-Rub (16855500) Uğur Feslİ (21841832) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ali Sharida (17947847) Sertac Bayhan (16388511) Haitham Abu-Rub (16855500) Uğur Feslİ (21841832) |
| dc.date.none.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3395925 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Inverse_Model_Predictive_Control_for_Power_Electronic_Converters/29715323 |
| 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 Inverse model predictive control model predictive control multi-level converters power electronics converters control advanced control Switches Legged locomotion Cost function Voltage control Predictive control Control systems Inverse problems Multilevel converters Power electronics Power conversion |
| dc.title.none.fl_str_mv | Inverse Model Predictive Control for Power Electronic Converters |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. The key advantage of this design is that it avoids predicting the controlled states for all possible switching-state vectors, while maintaining the advantage of adhering to multiple constraints and achieving multiple objectives. IMPC predicts the optimal control signal that minimizes the cost function and converts it into a switching vector. Unlike classical MPC, the computational time required for IMPC is significantly reduced which makes it easily applicable to all types and levels of power electronics converters. The proposed method does not depend on the number of possible switching vectors and is compatible with low-cost microcontrollers commonly used for industrial applications. Additionally, the proposed control inherits the benefits of MPC, such as the ability to achieve its objectives while adhering to various constraints, minimal parameters tuning requirements, and reduced computational time. To demonstrate the effectiveness of the proposed technique, experimental results are presented for a five-level active neutral point clamped flying capacitor inverter (ANPC-FC) as a case study.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3395925" target="_blank">https://dx.doi.org/10.1109/access.2024.3395925</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_3ae28037c3a16164477ad5661b4cd34d |
| identifier_str_mv | 10.1109/access.2024.3395925 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29715323 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Inverse Model Predictive Control for Power Electronic ConvertersAli Sharida (17947847)Sertac Bayhan (16388511)Haitham Abu-Rub (16855500)Uğur Feslİ (21841832)EngineeringElectrical engineeringElectronics, sensors and digital hardwareInverse model predictive controlmodel predictive controlmulti-level converterspower electronics converters controladvanced controlSwitchesLegged locomotionCost functionVoltage controlPredictive controlControl systemsInverse problemsMultilevel convertersPower electronicsPower conversion<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. The key advantage of this design is that it avoids predicting the controlled states for all possible switching-state vectors, while maintaining the advantage of adhering to multiple constraints and achieving multiple objectives. IMPC predicts the optimal control signal that minimizes the cost function and converts it into a switching vector. Unlike classical MPC, the computational time required for IMPC is significantly reduced which makes it easily applicable to all types and levels of power electronics converters. The proposed method does not depend on the number of possible switching vectors and is compatible with low-cost microcontrollers commonly used for industrial applications. Additionally, the proposed control inherits the benefits of MPC, such as the ability to achieve its objectives while adhering to various constraints, minimal parameters tuning requirements, and reduced computational time. To demonstrate the effectiveness of the proposed technique, experimental results are presented for a five-level active neutral point clamped flying capacitor inverter (ANPC-FC) as a case study.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3395925" target="_blank">https://dx.doi.org/10.1109/access.2024.3395925</a></p>2024-01-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3395925https://figshare.com/articles/journal_contribution/Inverse_Model_Predictive_Control_for_Power_Electronic_Converters/29715323CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/297153232024-01-01T00:00:00Z |
| spellingShingle | Inverse Model Predictive Control for Power Electronic Converters Ali Sharida (17947847) Engineering Electrical engineering Electronics, sensors and digital hardware Inverse model predictive control model predictive control multi-level converters power electronics converters control advanced control Switches Legged locomotion Cost function Voltage control Predictive control Control systems Inverse problems Multilevel converters Power electronics Power conversion |
| status_str | publishedVersion |
| title | Inverse Model Predictive Control for Power Electronic Converters |
| title_full | Inverse Model Predictive Control for Power Electronic Converters |
| title_fullStr | Inverse Model Predictive Control for Power Electronic Converters |
| title_full_unstemmed | Inverse Model Predictive Control for Power Electronic Converters |
| title_short | Inverse Model Predictive Control for Power Electronic Converters |
| title_sort | Inverse Model Predictive Control for Power Electronic Converters |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Inverse model predictive control model predictive control multi-level converters power electronics converters control advanced control Switches Legged locomotion Cost function Voltage control Predictive control Control systems Inverse problems Multilevel converters Power electronics Power conversion |