Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller
Multiphase drives have been presented as potential replacements for conventional three-phase machines, primarily because of their propensity to operate faultlessly. Due to the various stator phase arrangements, standard fault detection techniques are insufficiently applicable and cannot be used to d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/11/2/132 |
| _version_ | 1797619770174996480 |
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| author | Khaled Laadjal João Serra Antonio J. Marques Cardoso |
| author_facet | Khaled Laadjal João Serra Antonio J. Marques Cardoso |
| author_sort | Khaled Laadjal |
| collection | DOAJ |
| description | Multiphase drives have been presented as potential replacements for conventional three-phase machines, primarily because of their propensity to operate faultlessly. Due to the various stator phase arrangements, standard fault detection techniques are insufficiently applicable and cannot be used to diagnose faults in the various configurations of multiphase machines in closed-loop applications. The current study proposes an effective online diagnostic technique based on the computing and tracking of a significant severity factor, which is defined as the ratio of the zero, negative, and positive voltage symmetrical components employing a short-time least-square Prony algorithm (STLSP). In this study, the asymmetrical six-phase induction motor (ASPIM) was controlled by a model predictive control (MPC) algorithm, an attractive control scheme for the regulation of multiphase electric drives, since it easily exploits their inherent advantages. This article addresses stator faults in ASPIMs. The effectiveness of the suggested strategy was confirmed experimentally for various operating conditions in both steady and transient states. |
| first_indexed | 2024-03-11T08:31:33Z |
| format | Article |
| id | doaj.art-74011b10d9a04dd4991b829763afabe3 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T08:31:33Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-74011b10d9a04dd4991b829763afabe32023-11-16T21:44:19ZengMDPI AGMachines2075-17022023-01-0111213210.3390/machines11020132Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive ControllerKhaled Laadjal0João Serra1Antonio J. Marques Cardoso2CISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P- 6201-001 Covilhã, PortugalCISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P- 6201-001 Covilhã, PortugalCISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P- 6201-001 Covilhã, PortugalMultiphase drives have been presented as potential replacements for conventional three-phase machines, primarily because of their propensity to operate faultlessly. Due to the various stator phase arrangements, standard fault detection techniques are insufficiently applicable and cannot be used to diagnose faults in the various configurations of multiphase machines in closed-loop applications. The current study proposes an effective online diagnostic technique based on the computing and tracking of a significant severity factor, which is defined as the ratio of the zero, negative, and positive voltage symmetrical components employing a short-time least-square Prony algorithm (STLSP). In this study, the asymmetrical six-phase induction motor (ASPIM) was controlled by a model predictive control (MPC) algorithm, an attractive control scheme for the regulation of multiphase electric drives, since it easily exploits their inherent advantages. This article addresses stator faults in ASPIMs. The effectiveness of the suggested strategy was confirmed experimentally for various operating conditions in both steady and transient states.https://www.mdpi.com/2075-1702/11/2/132asymmetrical six-phase induction machinestator faultsshort time least square Prony’s algorithmvoltage symmetrical componentsmodel predictive control |
| spellingShingle | Khaled Laadjal João Serra Antonio J. Marques Cardoso Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller Machines asymmetrical six-phase induction machine stator faults short time least square Prony’s algorithm voltage symmetrical components model predictive control |
| title | Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller |
| title_full | Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller |
| title_fullStr | Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller |
| title_full_unstemmed | Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller |
| title_short | Stator Faults Detection in Asymmetrical Six-Phase Induction Motor Drives with Single and Dual Isolated Neutral Point, Adopting a Model Predictive Controller |
| title_sort | stator faults detection in asymmetrical six phase induction motor drives with single and dual isolated neutral point adopting a model predictive controller |
| topic | asymmetrical six-phase induction machine stator faults short time least square Prony’s algorithm voltage symmetrical components model predictive control |
| url | https://www.mdpi.com/2075-1702/11/2/132 |
| work_keys_str_mv | AT khaledlaadjal statorfaultsdetectioninasymmetricalsixphaseinductionmotordriveswithsingleanddualisolatedneutralpointadoptingamodelpredictivecontroller AT joaoserra statorfaultsdetectioninasymmetricalsixphaseinductionmotordriveswithsingleanddualisolatedneutralpointadoptingamodelpredictivecontroller AT antoniojmarquescardoso statorfaultsdetectioninasymmetricalsixphaseinductionmotordriveswithsingleanddualisolatedneutralpointadoptingamodelpredictivecontroller |